CN111090692A

CN111090692A - Map data based visual display heat and scattered point set distribution method

Info

Publication number: CN111090692A
Application number: CN202010205282.4A
Authority: CN
Inventors: 梁协君; 孔彬恒; 朱建琼; 汤斯亮; 蒋建军
Original assignee: Hangzhou Youshu Finance Information Services Co ltd
Current assignee: Hangzhou Youshu Finance Information Services Co ltd
Priority date: 2020-03-23
Filing date: 2020-03-23
Publication date: 2020-05-01

Abstract

The invention discloses a spatial information visualization method based on aggregation of a scatter diagram and a thermodynamic diagram set. The method comprises the following steps: acquiring a content data set required to be displayed, wherein the content set at least comprises longitude and latitude data; cutting rows and columns into longitude and latitude and a subset containing the data quantity according to the content data in a segmented manner and generating a thermodynamic diagram; respectively carrying out specific abnormal value detection on the content data set and the cut subsets, and integrating the subsets obtained by aggregation to generate a scatter diagram; according to the invention, macroscopic and microscopic information is presented at the same time through integration and aggregation of thermodynamic diagrams and scatter diagrams, and accurate coordinates of important points and abnormal points in data are displayed while the development trend of spatial data is better reflected.

Description

Map data based visual display heat and scattered point set distribution method

Technical Field

The invention relates to the field of data visualization display; the field of novel thermodynamic diagrams; the field of novel scatter diagrams; in particular to a spatial information visualization method based on thermal and scatter integration aggregation.

Background

Thermodynamic diagrams and scatter diagrams are data visualization forms commonly used in geographic information systems at present, the thermodynamic diagrams can show macroscopic distribution of data, and the scatter diagrams can show accurate positions of the data. According to the invention, the combination of macro and micro is realized by combining the thermodynamic diagram and the scatter diagram, so that the development trend of spatial data is better reflected, and meanwhile, the accurate coordinates of important points and abnormal points in the data are displayed.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides a space information visualization method based on thermal and scatter integration and aggregation.

In order to solve the technical problem, the invention is solved by the following technical scheme:

step 1: and acquiring a content data set C required to be displayed, wherein the content data at least comprises longitude and latitude data.

Step 2: and performing line-row segmentation cutting on the content data set C to obtain longitude and latitude and a subset H containing data quantity.

And step 3: and calculating a subset H1 of a partial area with a stronger heat range in the heat map by using the subset H through an One Class SVM algorithm to obtain the subset H with a larger data quantity, namely the subset H1.

And 4, step 4: and detecting abnormal values through an Isolation Forest algorithm according to the enterprise data set C to obtain an abnormal value set S.

And 5: and performing row-column segmentation cutting on the abnormal value set S to obtain longitude and latitude and a subset containing data quantity S1.

Step 6: and according to the subset H1, carrying out longitude and latitude range filtering on the subset S1 to obtain a new subset S2.

And 7: and performing thermodynamic rendering on the subset H, and performing custom covering rendering on the subset S2.

The custom overlay rendering is a rendering mode for controlling the size of the scatter point according to the quantity of the subset data.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

fig. 1 is a flowchart illustrating steps of a spatial information visualization method based on thermal and scatter integrated aggregation according to an embodiment of the present invention;

fig. 2 is an effect diagram of implementing a spatial information visualization method based on thermal and scatter integration aggregation.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.

As shown in fig. 1, step 1: acquiring a content data set required to be displayed, such as an enterprise data set C:

longitude lng	Latitude lat
		120.1763435643839600	30.2323958569852800
120.1871460411755100	30.2630135110897350
		120.1846145111466300	30.2480781411078930
120.1596187857381000	30.2787878961818900
		120.1083154414695100	30.2671267894870260
120.0709780403882800	30.2523739633779300
		120.1402859935356700	30.2801317055045270
120.4908147019574900	30.2493527302772020
		120.4035674808774700	30.2641612770801130
...	...

Step 2: and performing line-row segmentation cutting on the set C according to the required precision (such as 0.075d) to obtain longitude and latitude and a subset H containing the number of enterprises:

longitude lng	Latitude lat	Number of enterprises count
			120.95789169804792	29.49034293586883	32
120.89079974873438	29.52572030649754	58
			120.82068171807416	29.546925992231003	88
121.51389598077267	28.573828303018143	15
			121.34075475597145	30.19589935964445	1
119.36487228851084	30.216147647122	21
			119.69889504730565	30.191378122131017	68
120.30360871491578	30.208828029848632	44
			120.24410603590145	29.546925992231003	13
...	...	...

And step 3: the sub-set H is assigned with a training error of

The subset H1 of the partial region with the stronger heat range in the heat map is calculated as the normal samples with more counts in the subset:

longitude lng	Latitude lat	Number of enterprises count
			118.90044758687696	28.910121674577855	176
120.82068171807416	29.546925992231003	88
			120.18643212724433	30.288949237647678	183
120.38099342273392	30.234844024044136	130
			120.63428492366879	30.158851926957233	162
121.082104613942	30.6332256914035	73
			119.69889504730565	30.191378122131017	68
...	...	...

And 4, step 4: randomly assigning a dimension by the Isolation Forest algorithm according to the set C

And randomly generating a cutting point at the current node

Wherein

In that

Between max and min values according to

C1 and C2, and then C1 and C2 are randomly assigned one dimension again

And

…, until Cn and Cn +1 have only one data, t iTrees are obtained to detect the abnormal values of lat and lng to obtain the abnormal value set S:

longitude lng	Latitude lat
		120.8593707859688800	29.5984184836521900
118.9852630778456300	28.9566636977939250
		118.9501315818371600	28.9363389057721530
118.9501041188411300	28.9391947876037300
		121.7867724488375100	29.8965341617400570
121.7691423309553800	29.8843917560937100
		121.8144765752308300	29.9222880185324400
121.9683378686237200	29.9355725424887530
		121.9579305600226600	29.9421237322663500
...	...

And 5: performing row-column segmentation cutting on the abnormal value set S according to the required precision (such as 0.015d) to obtain a subset of longitude and latitude and enterprise number S1:

longitude lng	Latitude lat	Number of enterprises count
			121.96833786862372	29.935572542488753	13
121.20874061099789	28.88088771243952	5
			121.57321908849595	28.45331821139285	9
118.90044758687696	28.910121674577855	176
			120.70342380684362	28.142329774359865	28
119.32895293689965	29.115991038574435	1
			121.49408520740135	29.816768566605376	17
...	...	...

Step 6: carrying out longitude and latitude range filtering on the subset S1 according to the subset H1 to obtain a subset S2;

longitude lng	Latitude lat	Number of enterprises count
			120.08020929730046	30.458163302193974	23
122.04307742601252	29.85463283117864	17
			120.73177911939244	28.84689421457344	8
118.8619889720743	28.87786100044122	22
			119.36487228851084	30.19589935964445	16
121.55929193684003	28.56802996232551	5
			...	...	...

And 7: performing thermodynamic rendering on the subset H, and performing custom overlay rendering on the subset S2 to obtain the effect shown in FIG. 2.

Wherein the custom overlay rendering is a rendering mode that controls the size of the scatter according to the amount of the subset data.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

In summary, the above-mentioned embodiments are only preferred embodiments of the present invention, and all equivalent changes and modifications made in the claims of the present invention should be covered by the claims of the present invention.

Claims

1. A map data based visual display heat and dispersion set distribution method is characterized by comprising the following steps: comprises that

Step 1, acquiring a content data set C required to be displayed, wherein the content data at least comprises longitude and latitude data;

step 2, performing row-column segmentation cutting on the content data set C to obtain longitude and latitude and a subset H containing data quantity;

step 3, calculating a subset H1 of a partial area with more data in the subset by using an One Class SVM algorithm for the subset H;

step 4, detecting abnormal values through an Isolation Forest algorithm according to the enterprise data set C to obtain an abnormal value set S;

step 5, performing line-row segmentation cutting on the abnormal value set S to obtain a subset S1 of longitude and latitude and data quantity therein;

step 6, according to the subset H1, carrying out longitude and latitude range filtering on the subset S1 to obtain a new subset S2;

and 7, performing thermodynamic diagram rendering on the subset H, and performing custom coverage rendering on the subset S2.

2. The map data based visual presentation thermodynamic and heat sink set distribution method of claim 1, wherein: the custom overlay rendering in step 7 is a rendering mode that controls the size of the scatter according to the amount of the subset data.