CN105225009A - A kind of urban land use space method for early warning and device - Google Patents

Abstract

The present invention is applicable to early warning field, urban land use space, provides a kind of urban land use space method for early warning and device, and this urban land use space method for early warning comprises: the urban land use spatial distribution data obtaining prediction; Build urban land use space pre-warning indexes system, this urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of; According to this urban land use space pre-warning indexes system and this urban land use spatial distribution data, generate the desired value of different geographic space warning index; Standardization is carried out to this desired value, obtains the standard value that this desired value is corresponding; Measure the deviation oscillation between this desired value and this standard value, according to the alert limit pre-set and this deviation oscillation, setting early warning police degree.The present invention can carry out early warning to the construction land expansion quality of city coming years.

Description

A kind of urban land use space method for early warning and device

Technical field

The invention belongs to early warning field, urban land use space, particularly relate to a kind of urban land use space method for early warning and device.

Background technology

The early warning of urban land use space is derived from Urban Sprawl research.So-called " Urban Sprawl ", is often referred to development that is unplanned, dispersion, low-density, that rely on the periphery, suburb of automobile.External main employing single index method and multi objective method are carried out Urban Sprawl and are estimated.

Single index Urban Sprawl is estimated, and has the plurality of advantages such as easy and simple to handle, data volume is few, result is direct.Therefore, single index is estimated becomes Urban Sprawl and estimates middle a kind of effective method.Single index is estimated middle more representational index and is mainly contained Shannon entropy (Shannonentropy), takies construction land area, employment degree of scatter and Sprawl Indices per capita.

But it has been generally acknowledged that and adopt multi objective method to carry out estimating of Urban Sprawl, is the way of a more reasonable and science to the Urban Sprawl showing as many-sided feature.Some scholars, from a certain special angle, builds multi objective system and carries out measurement research to Urban Sprawl.In general, the research estimated about Urban Sprawl achieves a lot of achievements.

But, from the visual angle of urban land use space early warning, current research in the fast expansion process of city, cannot carry out early warning to construction land expansion space quality, be unfavorable for promoting the efficiency utilization of urban land and high-quality Land Urbanization, details are as follows:

1) to spread with the intension extension of spatial spread early warning and not quite identical.Say to a certain extent, Urban Sprawl is a kind of feature of town site spatial spread in spatial shape, and to the spatial-intensity of construction land expansion, the aspect such as spacial influence and space talent capacity not system relate to.

2) existing research is estimating present situation mostly, does not relate to the early warning to future.

3) existing document many concern macroscopic view and medium measure, with region and city for base unit carries out, for urban inner, the difference as Downtown and suburb is seldom taken into account, to the while of more basic also more significant interpolation scale also do not relate to.

4) existing research lacks multiple dimensioned research work usually, and in a research, contain macroscopic view, middle sight and microcosmic different scale can be effective more deeply from spatially portraying and evaluating construction land expansion simultaneously.

Summary of the invention

The object of the embodiment of the present invention is to provide a kind of urban land use space method for early warning, being intended to solve current research cannot in the fast expansion process of city, early warning is carried out to construction land expansion space quality, is unfavorable for promoting the efficiency utilization of urban land and the problem of high-quality Land Urbanization.

The embodiment of the present invention is achieved in that a kind of urban land use space method for early warning, comprising:

Obtain the urban land use spatial distribution data of prediction;

Build urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

According to described urban land use space pre-warning indexes system and described urban land use spatial distribution data, generate the desired value of different geographic space warning index;

Standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

Measure the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

Another object of the embodiment of the present invention is to provide a kind of urban land use space prior-warning device, comprising:

Acquisition module, for obtaining the urban land use spatial distribution data of prediction;

Build module, for building urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

Desired value generation module, for according to the urban land use space pre-warning indexes system built in advance and described urban land use spatial distribution data, generates the desired value of different geographic space warning index;

Standardization module, for carrying out standardization to described desired value, obtains the standard value that described desired value is corresponding;

Early warning police degree setting module, for measuring the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

In embodiments of the present invention, according to described urban land use space pre-warning indexes system and described urban land use spatial distribution data, the desired value of different geographic space warning index is generated; Standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding; Measure the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree, solving current research cannot in the fast expansion process of city, early warning is carried out to construction land expansion space quality, is unfavorable for promoting the efficiency utilization of urban land and the problem of high-quality Land Urbanization.On street scale and interpolation scale two geographic spaces, early warning is carried out to the construction land expansion quality of city coming years, to prevent or to reduce the urban land use harm that to a certain degree inferior quality expansion of city land for construction brings resource environment and social economy under nonreversibility prerequisite.

Accompanying drawing explanation

Fig. 1 is the realization flow figure of the urban land use space method for early warning that the embodiment of the present invention provides;

Fig. 2 is the realization flow figure of the urban land use space method for early warning step S104 that the embodiment of the present invention provides;

Fig. 3 is the realization flow figure of the comprehensive alert degree of the determination that provides of the embodiment of the present invention;

Fig. 4 is the realization flow figure of the step S302 that the embodiment of the present invention provides;

Fig. 5 is the structured flowchart of the urban land use space prior-warning device that the embodiment of the present invention provides.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

embodiment one

Fig. 1 is the realization flow figure of the urban land use space method for early warning that the embodiment of the present invention provides, and details are as follows:

In step S101, obtain the urban land use spatial distribution data of prediction;

In step s 102, build urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

In step s 103, according to described urban land use space pre-warning indexes system and described urban land use spatial distribution data, the desired value of different geographic space warning index is generated;

In step S104, standardization is carried out to described desired value, obtain the standard value that described desired value is corresponding;

Wherein, step S104, is specially:

The pointer type corresponding according to described desired value, chooses data-standardizing formula and carries out standardization to described desired value, obtain the standard value that described desired value is corresponding.

In step S105, measure the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

Wherein, step S105, is specially:

Measure the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree, is specially:

Measure the deviation oscillation between described desired value and described standard value;

According to 3 σ methods, alert limit is set;

When described deviation oscillation is within 1 times of standard deviation sigma, set early warning police degree as light alert;

When described deviation oscillation is between σ and 2 σ, setting early warning police degree is middle police;

When described deviation oscillation is between 2 σ and 3 σ, setting early warning police degree is attached most importance to police,

When described deviation oscillation is more than 3 σ, setting early warning police degree is huge police.

After step S105, urban land use space method for early warning, also comprises:

Utilize the space distribution of CLUE-S modeling urban land use, generate urban land use type simulation distribution plan;

On described urban land use type simulation distribution plan, according to different early warning police degree, adopt different color mark early warning elementary cells.

Early warning elementary cell is street or grid.

In embodiments of the present invention, on street scale and interpolation scale two geographic spaces, early warning is carried out to the construction land expansion quality of city coming years, the result of early warning can provide important information for urban planning authority, land administration department, so that relevant departments fulfil city management function services better.

embodiment two

The embodiment of the present invention describes described street scale urban land use space pre-warning indexes system and described interpolation scale urban land use space pre-warning indexes system, and details are as follows:

Described street scale urban land use space pre-warning indexes system comprises construction land expansion performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion performance indicator comprises following arbitrary index:

Expansion rate index, expansion GDP elasticity coefficient, expansion population elasticity coefficient, site coverage and rate of change, the density of population and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area variational rate, construction land patch average shape variational rate, construction land concentration class variational rate, construction land patch Split Index rate of change, compactness variability index;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, forest land patch average area variational rate, green areas of average per-person share variability index, region Shannon diversity index rate of change one or a combination set of;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Planning index of conformity, traffic density index, traffic accessibility index, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate.

Wherein, described interpolation scale urban land use space pre-warning indexes system comprises construction land expansion evolution performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution adaptability target, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion evolution performance indicator comprises following arbitrary index:

GDP density and rate of change, the density of population and rate of change, site coverage and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area rate of change, construction land patch average shape variational rate;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, urban green space accessibility index, green areas of average per-person share variability index, region Shannon diversity index rate of change;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Plan index of conformity, apart from school's distance, apart from market distance, distance hospital distance, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate.

For ease of the present embodiment is described, can reference table 1 and table 2, details are as follows:

Table 1 street scale urban land use space pre-warning indexes system

Table 2 interpolation scale urban land use space pre-warning indexes system

embodiment three

Fig. 2 is the realization flow figure of the urban land use space method for early warning step S104 that the embodiment of the present invention provides, and details are as follows:

In step s 201, pointer type corresponding to described desired value is obtained;

In step S202, when described pointer type is forward index, adopts forward standardize criteria formula, standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

In step S203, when pointer type is negative sense index, adopts negative sense standardize criteria formula, standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

In step S204, when pointer type is appropriate index, adopts appropriate standardize criteria formula, standardization is carried out to described desired value, obtain the standard value that described desired value is corresponding.

Wherein, forward standardize criteria formula is:

$y=\frac{x-x_{min}}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, negative sense standardize criteria formula is:

$y=\frac{x_{max}-x}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, appropriate standardize criteria formula is:

$y=\frac{x}{{\tilde{x}}_j},x\≤{\tilde{x}}_j;$

$y=\frac{{\tilde{x}}_j}{x},x>{\tilde{x}}_j;$

Y is standard value, it is the average of desired value x.

embodiment four

Fig. 3 is the realization flow figure of the comprehensive alert degree of the determination that provides of the embodiment of the present invention, and details are as follows:

In step S301, determine the weight of each described desired value;

In step s 302, utilize pre-configured Fuzzy Extension matter-element model and described weight, calculate Synthesis Relational Grade, determine comprehensively degree of police.

Wherein, based on analytical hierarchy process (AnalyticHierarchyProcess, AHP) method, warning index value weight is determined.The pre-implement of police in urban land use space is five first class index still, namely performance indicator, morphological index, natural, ecological influence index, adaptive criteria and potentiality index are being evaluated and are being had identical importance, therefore in advance five first class index weights are all set to 0.2.Then, judge according to the relative importance between two-level index, obtain the weight of each two-level index based on AHP method.All test coefficient CR are all less than 0.1, pass through consistency check.

For ease of the present embodiment is described, can reference table 3 and table 4, details are as follows:

Table 3 street scale construction land expansion evolution benefits evaluation index weight

Table 4 interpolation scale evolution benefits evaluation index weight

embodiment five

Fig. 4 is the realization flow figure of the step S302 that the embodiment of the present invention provides, and details are as follows:

In step S401, determine the Classical field object element analysis of urban land use, described Classical field object element analysis is expressed as:

$R_{oij}=\left|\begin{array}{cccc}(a_{o11},b_{o11})& (a_{o21},b_{o21})& \mathrm{...}& (a_{oj1},b_{oj1})\\ (a_{o12},b_{o12})& (a_{o22},b_{o22})& \mathrm{...}& (a_{oj2},b_{oj2})\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ (a_{o1i},b_{o1i})& (a_{o2i},b_{o2i})& \mathrm{...}& (a_{oji},b_{oji})\end{array}\right|;$

Wherein, alert, as object T, estimates the index of alert as proper vector C, and desired value is as proper vector value v, and this three forms the alert matter-element R=(T, C, v) of Urban Expansion jointly;

Wherein, R _oijfor Classical field matter-element, T _oijrepresent jth police's degree, C _irepresentative feature vector, V _oijrepresent the span (a of the jth police degree that i-th proper vector is corresponding _oij, b _oij);

In step S402, determine the joint territory object element analysis of urban land use, the joint territory object element analysis of described urban land use is:

$R_p=(T_p,C_i,V_{pi})=\left|\begin{array}{cc}{T}_p& C_1(a_{p1},b_{p1})\\ & C_2(a_{p2},b_{p2})\\ & .\\ & .\\ & .\\ & C_n(a_{pn},b_{pn})\end{array}\right|;$

Wherein, R _pfor joint territory matter-element, V _pifor joint territory matter-element R _pfeature C _ispan (a _pi, b _pi), T _prepresent the object being added the joint territory that the things that can be converted into standard forms by standard things;

The span of feature; In step S403, determine correlation function and the degree of association;

$K_{\left(c_i\right)j}=\left\{\begin{array}{cc}\frac{-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{\left|V_{oij}\right|}& v_i\∈V_o\\ \frac{{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{{\mathrm{\ρ}}_{pi}(v_i,V_{pi})-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}& v_i\∉V_o\end{array}\right.$

Wherein, be the degree of association of i-th index and corresponding jth police degree, and

$\left(\begin{array}{c}{\mathrm{\ρ}}_{ij}(v_i,V_{oij})=|v_i-\frac{1}{2}(a_{oij}+b_{oij}\left)\right|-\frac{1}{2}(b_{oij}-a_{oij})\\ {\mathrm{\ρ}}_{pi}(v_i,V_{pi})=|v_i-\frac{1}{2}(a_{pi}+b_{pi}\left)\right|-\frac{1}{2}(b_{pi}-a_{pi})\\ \left|V_{oij}\right|=|b_{oij}-a_{oij}|\end{array}\right.$

Wherein, ρ _ij(v _i, V _oij) be proper vector C _ivalue v _iwith character pair vector Classical field V _oij=[a _oij, b _oij] distance;

ρ _pi(v _i, V _pi) be proper vector C _ivalue v _iterritory V is saved with character pair vector _pi=[a _pi, b _pi] distance;

V _i, V _oijand V _pithe value of band early warning matter-element respectively, the value scope of Classical field matter-element and the value scope of joint territory matter-element;

In step s 404, calculate Synthesis Relational Grade, determine comprehensively degree of police;

Early warning object T _x(X=1,2,3 ..., Synthesis Relational Grade computing formula m) about police's degree j is

$K_{j\left(T_X\right)}=\underset{i=1}{\overset{n}{\Σ}}{w}_i{k}_{\left(C_i\right)j}$

Wherein, w _ifor the weight of each warning index;

Wherein, if then the comprehensive alert degree of i-th index of early warning object is j;

Wherein, if then early warning object T _xcomprehensive alert degree be j;

Wherein, K value is larger, and early warning object is more stable in police's degree, and K value is less, then show to have the alert degree of early warning object to have the trend of conversion.

What needs were described is, Fuzzy Extension matter-element model is used to carry out study of warning to urban land use, be exactly as object T using the impact of urban land use (alert), estimate the index (alert element) of alert as proper vector C, desired value is as proper vector value v, this three forms the alert matter-element R=(T, C, v) of Urban Expansion jointly.If forecast alert needs n alert element, then object T has n proper vector C ₁, C ₂..., C _nwith n corresponding value v ₁, v ₂..., v _n, such R becomes n and ties up fuzzy unit.If there be m evaluation object, then the n of m object ties up the fuzzy matter element of matter-element m*n dimension, and corresponding matrix expression is

$R_{mn}=\left|\begin{array}{cccc}{R}_{11}& R_{21}& \mathrm{...}& R_{m1}\\ R_{12}& R_{22}& \mathrm{...}& R_{m2}\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ R_{ln}& R_{2n}& \mathrm{...}& R_{mn}\end{array}\right|$

Carrying out early warning to urban land use, determine the alert degree of research object, is exactly calculate matter-element R _mnwith the degree of association of each grade, determine R _mnthe process of ownership grade

In the present embodiment, utilize comprehensive pre-warning result, can be urban planning authority, land administration department provides further important information, so that city management function services can be fulfiled better by relevant departments.

embodiment six

Fig. 5 is the structured flowchart of the urban land use space prior-warning device that the embodiment of the present invention provides, and this device can run on to be had in the electronic equipment of processor.For convenience of explanation, illustrate only part related to the present embodiment.

With reference to Fig. 5, this urban land use space prior-warning device, comprising:

Acquisition module 51, for obtaining the urban land use spatial distribution data of prediction;

Build module 52, for building urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

Desired value generation module 53, for according to the urban land use space pre-warning indexes system built in advance and described urban land use spatial distribution data, generates the desired value of different geographic space warning index;

Standardization module 54, for carrying out standardization to described desired value, obtains the standard value that described desired value is corresponding;

Early warning police degree setting module 55, for measuring the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

As a kind of implementation of the present embodiment, in the prior-warning device of described urban land use space, described street scale urban land use space pre-warning indexes system comprises construction land expansion performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion performance indicator comprises following arbitrary index:

Expansion rate index, expansion GDP elasticity coefficient, expansion population elasticity coefficient, site coverage and rate of change, the density of population and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area variational rate, construction land patch average shape variational rate, construction land concentration class variational rate, construction land patch Split Index rate of change, compactness variability index;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, forest land patch average area variational rate, green areas of average per-person share variability index, region Shannon diversity index rate of change one or a combination set of;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Planning index of conformity, traffic density index, traffic accessibility index, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate;

Wherein, described interpolation scale urban land use space pre-warning indexes system comprises construction land expansion evolution performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution adaptability target, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion evolution performance indicator comprises following arbitrary index:

GDP density and rate of change, the density of population and rate of change, site coverage and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area rate of change, construction land patch average shape variational rate;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, urban green space accessibility index, green areas of average per-person share variability index, region Shannon diversity index rate of change;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Plan index of conformity, apart from school's distance, apart from market distance, distance hospital distance, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate.

As a kind of implementation of the present embodiment, in the prior-warning device of described urban land use space, described standardization module, comprising:

Pointer type acquiring unit, for obtaining pointer type corresponding to described desired value;

Forward index processing unit, for when described pointer type is forward index, adopts forward standardize criteria formula, carries out standardization, obtain the standard value that described desired value is corresponding to described desired value;

Negative sense index processing unit, for when pointer type is negative sense index, adopts negative sense standardize criteria formula, carries out standardization, obtain the standard value that described desired value is corresponding to described desired value;

Appropriateness index processing unit, for when pointer type is appropriate index, adopts appropriate standardize criteria formula, carries out standardization to described desired value, obtain the standard value that described desired value is corresponding.

Wherein, forward standardize criteria formula is:

$y=\frac{x-x_{min}}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, negative sense standardize criteria formula is:

$y=\frac{x_{max}-x}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, appropriate standardize criteria formula is:

$y=\frac{x}{{\tilde{x}}_j}x\≤{\tilde{x}}_j;$

$y=\frac{{\tilde{x}}_j}{x},x>{\tilde{x}}_j;$

Y is standard value, it is the average of desired value x.

As a kind of implementation of the present embodiment, described urban land use space prior-warning device, also comprises:

Weight determination module, for determining the weight of each described desired value;

Comprehensive alert degree determination module, for utilizing pre-configured Fuzzy Extension matter-element model and described weight, calculating Synthesis Relational Grade, determining comprehensively degree of police.

As a kind of implementation of the present embodiment, in the prior-warning device of described urban land use space, described comprehensive alert degree determination module, comprising:

Classical field object element analysis determining unit, for determining the Classical field object element analysis of urban land use, described Classical field object element analysis is expressed as:

$R_{oij}=\left|\begin{array}{cccc}(a_{o11},b_{o11})& (a_{o21},b_{o21})& \mathrm{...}& (a_{oj1},b_{oj1})\\ (a_{o12},b_{o12})& (a_{o22},b_{o22})& \mathrm{...}& (a_{oj2},b_{oj2})\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ (a_{o1i},b_{o1i})& (a_{o2i},b_{o2i})& \mathrm{...}& (a_{oji},b_{oji})\end{array}\right|;$

Wherein, alert, as object T, estimates the index of alert as proper vector C, and desired value is as proper vector value v, and this three forms the alert matter-element R=(T, C, v) of Urban Expansion jointly;

Wherein, R _oijfor Classical field matter-element, T _oijrepresent jth police's degree, C _irepresentative feature vector, V _oijrepresent the span (a of the jth police degree that i-th proper vector is corresponding _oij, b _oij);

Joint territory object element analysis determining unit, for determining the joint territory object element analysis of urban land use, the joint territory object element analysis of described urban land use is:

$R_p=(T_p,C_i,V_{pi})=\left|\begin{array}{cc}{T}_p& C_1(a_{p1},b_{p1})\\ & C_2(a_{p2},b_{p2})\\ & .\\ & .\\ & .\\ & C_n(a_{pn},b_{pn})\end{array}\right|;$

Wherein, R _pfor joint territory matter-element, V _pifor matter-element is joint territory matter-element R _pfeature C _ispan (a _pi, b _pi);

Correlation function and degree of association determining unit, for determining correlation function and the degree of association;

$K_{\left(c_i\right)j}=\left\{\begin{array}{cc}\frac{-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{\left|V_{oij}\right|}& v_i\∈V_o\\ \frac{{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{{\mathrm{\ρ}}_{pi}(v_i,V_{pi})-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}& v_i\∉V_o\end{array}\right.$

Wherein, be the degree of association of i-th index and corresponding jth police degree, and

$\left\{\begin{array}{c}{\mathrm{\ρ}}_{ij}(v_i,V_{oij})=|v_i-\frac{1}{2}(a_{oij}+b_{oij}\left)\right|-\frac{1}{2}(b_{oij}-a_{oij})\\ {\mathrm{\ρ}}_{pi}(v_i,V_{pi})=|v_i-\frac{1}{2}(a_{pi}+b_{pi}\left)\right|-\frac{1}{2}(b_{pi}-a_{pi})\\ \left|V_{oij}\right|=|b_{oij}-a_{oij}|\end{array}\right.$

Wherein, ρ _ij(v _i, V _oij) be proper vector C _ivalue v _iwith character pair vector Classical field V _oij=[a _oij, b _oij] distance;

ρ _pi(v _i, V _pi) be proper vector C _ivalue v _iterritory V is saved with character pair vector _pi=[a _pi, b _pi] distance;

V _i, V _oijand V _pithe value of band early warning matter-element respectively, the value scope of Classical field matter-element and the value scope of joint territory matter-element;

Comprehensive alert degree determining unit, for calculating Synthesis Relational Grade, determines comprehensively degree of police;

Early warning object T _x(X=1,2,3 ..., Synthesis Relational Grade computing formula m) about police's degree j is

$K_{j\left(T_x\right)}=\underset{i=1}{\overset{n}{\Σ}}{w}_i{k}_{\left(C_i\right)j}$

Wherein, w _ifor the weight of each warning index;

Wherein, if then the comprehensive alert degree of i-th index of early warning object is j;

Wherein, if then early warning object T _xcomprehensive alert degree be j;

Wherein, K value is larger, and early warning object is more stable in police's degree, and K value is less, then show to have the alert degree of early warning object to have the trend of conversion.

The device that the embodiment of the present invention provides can be applied in the embodiment of the method for aforementioned correspondence, and details, see the description of above-described embodiment, do not repeat them here.

Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required common hardware by software and realizes.Described program can be stored in read/write memory medium, described storage medium, as random access memory, flash memory, ROM (read-only memory), programmable read only memory, electrically erasable programmable storer, register etc.This storage medium is positioned at storer, and processor reads the information in storer, performs the method described in each embodiment of the present invention in conjunction with its hardware.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (10)

1. a urban land use space method for early warning, is characterized in that, comprising:

Obtain the urban land use spatial distribution data of prediction;

Build urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

According to described urban land use space pre-warning indexes system and described urban land use spatial distribution data, generate the desired value of different geographic space warning index;

Standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

Measure the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

2. urban land use space as claimed in claim 1 method for early warning, is characterized in that,

Described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

Wherein, described street scale urban land use space pre-warning indexes system comprises construction land expansion performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion performance indicator comprises following arbitrary index:

Expansion rate index, expansion GDP elasticity coefficient, expansion population elasticity coefficient, site coverage and rate of change, the density of population and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area variational rate, construction land patch average shape variational rate, construction land concentration class variational rate, construction land patch Split Index rate of change, compactness variability index;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, forest land patch average area variational rate, green areas of average per-person share variability index, region Shannon diversity index rate of change one or a combination set of;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Planning index of conformity, traffic density index, traffic accessibility index, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate;

Wherein, described interpolation scale urban land use space pre-warning indexes system comprises construction land expansion evolution performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution adaptability target, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion evolution performance indicator comprises following arbitrary index:

GDP density and rate of change, the density of population and rate of change, site coverage and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area rate of change, construction land patch average shape variational rate;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, urban green space accessibility index, green areas of average per-person share variability index, region Shannon diversity index rate of change;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Plan index of conformity, apart from school's distance, apart from market distance, distance hospital distance, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate.

3. urban land use space as claimed in claim 1 method for early warning, is characterized in that, carry out standardization to described desired value, obtain the standard value that described desired value is corresponding, be specially:

Obtain the pointer type that described desired value is corresponding;

When described pointer type is forward index, adopts forward standardize criteria formula, standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

When pointer type is negative sense index, adopts negative sense standardize criteria formula, standardization is carried out to described desired value, obtains the standard value that described desired value is corresponding;

When pointer type is appropriate index, adopts appropriate standardize criteria formula, standardization is carried out to described desired value, obtain the standard value that described desired value is corresponding.

Wherein, forward standardize criteria formula is:

$y=\frac{x-x_{min}}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, negative sense standardize criteria formula is:

$y=\frac{x_{max}-x}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, appropriate standardize criteria formula is:

$y=\frac{x}{{\tilde{x}}_j},x\≤{\tilde{x}}_j;$

$y=\frac{{\tilde{x}}_j}{x},x>{\tilde{x}}_j;$

Y is standard value, it is the average of desired value x.

4. urban land use space as claimed in claim 1 method for early warning, it is characterized in that, at the described deviation oscillation measured between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, after setting early warning police degree, described urban land use space method for early warning, also comprises:

Determine the weight of each described desired value;

Utilize pre-configured Fuzzy Extension matter-element model and described weight, calculate Synthesis Relational Grade, determine comprehensively degree of police.

5. urban land use space as claimed in claim 4 method for early warning, is characterized in that, describedly utilizes pre-configured Fuzzy Extension matter-element model and described weight, calculates Synthesis Relational Grade, determines comprehensively degree of police, be specially:

S1, determines the Classical field object element analysis of urban land use, and described Classical field object element analysis is expressed as:

$R_{oij}=\left|\begin{array}{cccc}(a_{o11},b_{o11})& (a_{o21},b_{o21})& \mathrm{...}& (a_{oj1},b_{oj1})\\ (a_{o12},b_{o12})& (a_{o22},b_{o22})& \mathrm{...}& (a_{oj2},b_{oj2})\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ (a_{o1i},b_{o1i})& (a_{o2i},b_{o2i})& \mathrm{...}& (a_{oji},b_{oji})\end{array}\right|;$

Wherein, R _oijfor Classical field matter-element, T _oijrepresent jth police's degree, C _irepresentative feature vector, V _oijrepresent the span (a of the jth police degree that i-th proper vector is corresponding _oij, b _oij);

S2, determines the joint territory object element analysis of urban land use, and the joint territory object element analysis of described urban land use is:

$R_p=(T_p,C_i,V_{pi})=\left|\begin{array}{cc}{T}_p& C_1(a_{p1},b_{p1})\\ & C_2(a_{p2},b_{p2})\\ & .\\ & .\\ & .\\ & C_n(a_{pn},b_{pn})\end{array}\right|;$

Wherein, R _pfor joint territory matter-element, V _pifor matter-element is joint territory matter-element R _pfeature C _ispan (a _pi, b _pi), T _prepresent the object being added the joint territory that the things that can be converted into standard forms by standard things;

S3, determines correlation function and the degree of association;

$K_{\left(c_i\right)j}=\left\{\begin{array}{cc}\frac{-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{\left|V_{oij}\right|}& v_i\∈V_o\\ \frac{{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{{\mathrm{\ρ}}_{pi}(v_i,V_{pi})-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}& v_i\∉V_o\end{array}\right.$

Wherein, be the degree of association of i-th index and corresponding jth police degree, and

$\left\{\begin{array}{c}{\mathrm{\ρ}}_{ij}(v_i,V_{oij})=|v_i-\frac{1}{2}(a_{oij}+b_{oij}\left)\right|-\frac{1}{2}(b_{oij}-a_{oij})\\ {\mathrm{\ρ}}_{pi}(v_i,V_{pi})=|v_i-\frac{1}{2}(a_{pi}+b_{pi}\left)\right|-\frac{1}{2}(b_{pi}-a_{pi})\\ \left|V_{oij}\right|=|b_{oij}-a_{oij}|\end{array}\right.$

Wherein, ρ _ij(v _i, V _oij) be proper vector C _ivalue v _iwith character pair vector Classical field V _oij=[a _oij, b _oij] distance;

ρ _pi(v _i, V _pi) be proper vector C _ivalue v _iterritory V is saved with character pair vector _pi=[a _pi, b _pi] distance;

V _i, V _oijand V _pithe value of band early warning matter-element respectively, the value scope of Classical field matter-element and the value scope of joint territory matter-element;

S4, calculates Synthesis Relational Grade, determines comprehensively degree of police;

Early warning object T _x(X=1,2,3 ..., Synthesis Relational Grade computing formula m) about police's degree j is

$K_{j\left(T_x\right)}=\underset{i=1}{\overset{n}{\Σ}}{w}_i{k}_{\left(C_i\right)j}$

Wherein, w _ifor the weight of each warning index;

Wherein, if then the comprehensive alert degree of i-th index of early warning object is j;

Wherein, if then early warning object T _xcomprehensive alert degree be j;

Wherein, K value is larger, and early warning object is more stable in police's degree, and K value is less, then show to have the alert degree of early warning object to have the trend of conversion.

6. a urban land use space prior-warning device, is characterized in that, comprising:

Acquisition module, for obtaining the urban land use spatial distribution data of prediction;

Build module, for building urban land use space pre-warning indexes system, described urban land use space pre-warning indexes system comprises street scale urban land use space pre-warning indexes system and interpolation scale urban land use space pre-warning indexes system one or a combination set of;

Desired value generation module, for according to the urban land use space pre-warning indexes system built in advance and described urban land use spatial distribution data, generates the desired value of different geographic space warning index;

Standardization module, for carrying out standardization to described desired value, obtains the standard value that described desired value is corresponding;

Early warning police degree setting module, for measuring the deviation oscillation between described desired value and described standard value, according to the alert limit pre-set and described deviation oscillation, setting early warning police degree.

7. urban land use space prior-warning device as claimed in claim 6, is characterized in that,

Described street scale urban land use space pre-warning indexes system comprises construction land expansion performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion performance indicator comprises following arbitrary index:

Expansion rate index, expansion GDP elasticity coefficient, expansion population elasticity coefficient, site coverage and rate of change, the density of population and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area variational rate, construction land patch average shape variational rate, construction land concentration class variational rate, construction land patch Split Index rate of change, compactness variability index;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, forest land patch average area variational rate, green areas of average per-person share variability index, region Shannon diversity index rate of change one or a combination set of;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Planning index of conformity, traffic density index, traffic accessibility index, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate;

Wherein, described interpolation scale urban land use space pre-warning indexes system comprises construction land expansion evolution performance indicator, construction land expansion evolution morphological index, construction land expansion evolution natural, ecological influence index, construction land expansion evolution adaptability target, construction land expansion evolution potentiality index one or a combination set of;

Described construction land expansion evolution performance indicator comprises following arbitrary index:

GDP density and rate of change, the density of population and rate of change, site coverage and rate of change, plot ratio and rate of change;

Described construction land expansion evolution morphological index comprises following arbitrary index:

Construction land patch average area rate of change, construction land patch average shape variational rate;

Described construction land expansion evolution natural, ecological influence index comprises following arbitrary index:

Expansion gradient Composition index, wide open space Intrusion Index, urban green space accessibility index, green areas of average per-person share variability index, region Shannon diversity index rate of change;

Described construction land expansion evolution adaptability target comprises following arbitrary index:

Plan index of conformity, apart from school's distance, apart from market distance, distance hospital distance, mixing utilization index;

Described construction land expansion evolution potentiality index comprises following arbitrary index:

Build vacant lot rate variability index, build vacant lot rate.

8. urban land use space prior-warning device as claimed in claim 6, it is characterized in that, described standardization module, comprising:

Pointer type acquiring unit, for obtaining pointer type corresponding to described desired value;

Forward index processing unit, for when described pointer type is forward index, adopts forward standardize criteria formula, carries out standardization, obtain the standard value that described desired value is corresponding to described desired value;

Negative sense index processing unit, for when pointer type is negative sense index, adopts negative sense standardize criteria formula, carries out standardization, obtain the standard value that described desired value is corresponding to described desired value;

Appropriateness index processing unit, for when pointer type is appropriate index, adopts appropriate standardize criteria formula, carries out standardization to described desired value, obtain the standard value that described desired value is corresponding.

Wherein, forward standardize criteria formula is:

$y=\frac{x-x_{min}}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, negative sense standardize criteria formula is:

$y=\frac{x_{max}-x}{x_{max}-x_{min}}$

Y is standard value, x _minthe minimum value of desired value x, x _maxit is the maximal value of desired value x;

Wherein, appropriate standardize criteria formula is:

$y=\frac{x}{{\tilde{x}}_j},x\≤{\tilde{x}}_j;$

$y=\frac{{\tilde{x}}_j}{x},x>{\tilde{x}}_j;$

Y is standard value, it is the average of desired value x.

9. urban land use space prior-warning device as claimed in claim 6, it is characterized in that, described urban land use space prior-warning device, also comprises:

Weight determination module, for determining the weight of each described desired value;

Comprehensive alert degree determination module, for utilizing pre-configured Fuzzy Extension matter-element model and described weight, calculating Synthesis Relational Grade, determining comprehensively degree of police.

10. urban land use space prior-warning device as claimed in claim 9, it is characterized in that, described comprehensive alert degree determination module, comprising:

Classical field object element analysis determining unit, for determining the Classical field object element analysis of urban land use, described Classical field object element analysis is expressed as:

$R_{oij}=\left|\begin{array}{cccc}(a_{o11},b_{o11})& (a_{o21},b_{o21})& \mathrm{...}& (a_{oj1},b_{oj1})\\ (a_{o12},b_{o12})& (a_{o22},b_{o22})& \mathrm{...}& (a_{oj2},b_{oj2})\\ .& .& & .\\ .& .& \mathrm{...}& .\\ .& .& & .\\ (a_{o1i},b_{o1i})& (a_{o2i},b_{o2i})& \mathrm{...}& (a_{oji},b_{oji})\end{array}\right|;$

Wherein, R _oijfor Classical field matter-element, T _oijrepresent jth police's degree, C _irepresentative feature vector, V _oijrepresent the span (a of the jth police degree that i-th proper vector is corresponding _oij, b _oij);

Joint territory object element analysis determining unit, for determining the joint territory object element analysis of urban land use, the joint territory object element analysis of described urban land use is:

$R_p=(T_p,C_i,V_{pi})=\left|\begin{array}{cc}{T}_p& C_1(a_{p1},b_{p1})\\ & C_2(a_{p2},b_{p2})\\ & .\\ & .\\ & .\\ & C_n(a_{pn},b_{pn})\end{array}\right|;$

Wherein, R _pfor joint territory matter-element, V _pifor joint territory matter-element R _pfeature C _ispan (a _pi, b _pi), T _prepresent the object being added the joint territory that the things that can be converted into standard forms by standard things; The span of feature;

Correlation function and degree of association determining unit, for determining correlation function and the degree of association;

$K_{\left(c_i\right)j}=\left\{\begin{array}{cc}\frac{-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{\left|V_{oij}\right|}& v_i\∈V_o\\ \frac{{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}{{\mathrm{\ρ}}_{pi}(v_i,V_{pi})-{\mathrm{\ρ}}_{ij}(v_i,V_{oij})}& v_i\∉V_o\end{array}\right.$

Wherein, be the degree of association of i-th index and corresponding jth police degree, and

$\left\{\begin{array}{c}{\mathrm{\ρ}}_{ij}(v_i,V_{oij})=|v_i-\frac{1}{2}(a_{oij}+b_{oij}\left)\right|-\frac{1}{2}(b_{oij}-a_{oij})\\ {\mathrm{\ρ}}_{pi}(v_i,V_{pi})=|v_i-\frac{1}{2}(a_{pi}+b_{pi}\left)\right|-\frac{1}{2}(b_{pi}-a_{pi})\\ \left|V_{oij}\right|=|b_{oij}-a_{oij}|\end{array}\right.$

Wherein, ρ _ij(v _i, V _oij) be proper vector C _ivalue v _iwith character pair vector Classical field V _oij=[a _oij, b _oij] distance;

ρ _pi(v _i, V _pi) be proper vector C _ivalue v _iterritory V is saved with character pair vector _pi=[a _pi, b _pi] distance;

V _i, V _oijand V _pithe value of band early warning matter-element respectively, the value scope of Classical field matter-element and the value scope of joint territory matter-element;

Comprehensive alert degree determining unit, for calculating Synthesis Relational Grade, determines comprehensively degree of police;

Early warning object T _x(X=1,2,3 ..., Synthesis Relational Grade computing formula m) about police's degree j is

$K_{j\left(T_x\right)}=\underset{i=1}{\overset{n}{\Σ}}{w}_i{k}_{\left(C_i\right)j}$

Wherein, w _ifor the weight of each warning index;

Wherein, if then the comprehensive alert degree of i-th index of early warning object is j;

Wherein, if then early warning object T _xcomprehensive alert degree be j;

Wherein, K value is larger, and early warning object is more stable in police's degree, and K value is less, then show to have the alert degree of early warning object to have the trend of conversion.