CN117575396A - Digital identification method for cultural heritage communities - Google Patents

Digital identification method for cultural heritage communities Download PDF

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CN117575396A
CN117575396A CN202311543377.7A CN202311543377A CN117575396A CN 117575396 A CN117575396 A CN 117575396A CN 202311543377 A CN202311543377 A CN 202311543377A CN 117575396 A CN117575396 A CN 117575396A
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刘畅
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Zhonggui Dean Triangle Culture And Tourism Research Institute Co ltd
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Abstract

The invention relates to the field of electric digital data processing, in particular to a digital identification method of a cultural heritage community. It comprises the following steps: step S1, determining the research range and the precision requirement of a research area of heritage community identification; s2, converting the obtained information of all natural ecological environments and non-material cultural heritage resources into a data format with geographic information in an ArcGIS system, wherein the information is located in a geographic space map; s3, determining a heritage community assessment index; step S4, determining weight values corresponding to all evaluation indexes; s5, obtaining various index assignment spatial distribution diagrams; s6, nuclear density analysis; step S7, dividing three types of planar distribution protection areas; and S8, superposing administrative division of the research area on the basis of the key protection area, determining heritage community distribution of the research area, and completing identification of the heritage communities. The invention can identify and judge the heritage communities according to the non-material cultural heritage distribution and the natural environment conditions on which the heritage distribution depends in the research scope.

Description

Digital identification method for cultural heritage communities
Technical Field
The invention relates to the field of electric digital data processing, in particular to a digital identification method of a cultural heritage community.
Background
The community is a 'inheritance matrix' for inheriting and sustaining non-material cultural heritage in a cultural ecological protection area, and the non-material cultural heritage is mainly created, enjoyed and inherited by people living in the community. However, communities are particularly vulnerable or marginalized in non-genetic protection work conducted by government agencies as the primary impetus for practitioners. In order to avoid or change the conditions, the concept of 'seeing things and seeing life' is used for emphasizing the traditional life of protecting residents in communities in a core area, and the importance of the problems of community knowledge, community decision, community benefit and the like is reflected from the concept to the implementation. The research proposes the concept of heritage communities and constructs the integrity protection of non-material cultural heritage areas and the inheritance of traditional culturesThe key areas of the network system are used for making community development and construction planning aiming at key heritage communities, perfecting basic facilities and relevant environmental features of living culture space, cultivating community culture identifying sense and cohesive force, and exploring and constructing a full-vitality community organization management system mechanism. The method is characterized in that characteristic villages and towns, key communities and the like are defined in space, the characteristic villages and the key communities are used as space fulcra of a cultural ecological network, detailed community development and construction planning are formulated, and basic facilities of living culture space and relevant environmental aspects are perfected. Meanwhile, the project claims give consideration to the management mode of resident interests and non-material cultural heritage protection, and the local residents practically share ecological, economic and travel benefits in the cultural ecological protection area through the establishment of a community organization management mechanism, so that community cultural identity and cohesive force are cultivated.
Disclosure of Invention
The invention aims to provide a digital identification method for cultural heritage communities, which is used for identifying and judging heritage communities according to non-material cultural heritage distribution and natural environment conditions on which the non-material cultural heritage distribution depends in a research range.
The technical aim of the invention is realized by the following technical scheme:
a digital identification method of cultural heritage communities comprises the following steps:
step S1, determining the research range and the precision requirement of a research area of heritage community identification; s2, converting the obtained information of all natural ecological environments and non-material cultural heritage resources into a data format with geographic information in an ArcGIS system, wherein the information is located in a geographic space map;
s3, determining a heritage community assessment index;
s4, determining weight values corresponding to all evaluation indexes in the index system by adopting an analytic hierarchy process;
step S5, assigning values to the grids in the step 2 according to various indexes in the index system to obtain various index assignment spatial distribution diagrams;
s6, nuclear density analysis; the calculation formula of the nuclear density value is as follows:
wherein r represents the search radius of the nuclear density analysis, (x) a ,y a )(x b ,y b ) Coordinate values representing two adjacent grid center points, n being the grid center point number of the research area;
s7, comprehensively analyzing the distribution of each element of the cultural ecological system in space, and dividing three planar distribution protection areas of an important protection area, a general protection area and an ecological support area;
and S8, superposing administrative division of the research area on the basis of the key protection area, determining heritage community distribution of the research area, and completing identification of the heritage communities.
Preferably, the step S1 includes determining a research scope and a precision requirement of a research area for identifying a heritage community, and obtaining information of natural ecological environment and cultural heritage resources, a base map of the natural environment, a distribution map of cultural heritage resources, and the like in the research area by means of in-situ interview, reference to literature data, and the like.
Preferably, the step S2 includes transforming the obtained information of all natural ecological environments and non-material cultural heritage resources into a geographical space map, into a data format with geographical information in the ArcGIS system, dividing the research area into regular grids according to the precision requirement of the research area, and the grid division functions in unifying the data precision, so as to facilitate further space analysis and calculation.
Preferably, the step S3 includes determining a heritage community evaluation index, where the evaluation index includes two major categories of natural environment indexes and heritage resource indexes, and the natural environment indexes include: vegetation, soil, precipitation, temperature, land cover, elevation, etc., cultural heritage indexes include: including folk literature, traditional music, traditional dance, traditional drama, traditional song, traditional sports recreation, traditional art, traditional skills, traditional medicine, traditional folk-custom and other non-matter cultural heritage projects, representative inheritance places, typical event and activity places, traditional villages, relevant historical relic ancient places and the like, so as to construct a heritage community identification evaluation index system.
Preferably, the step S4 includes determining weight values corresponding to each evaluation index in the index system by inviting a plurality of experts in the related field to perform weight scoring by using a hierarchical analysis method.
Preferably, the step S5 includes assigning values to the grids in the step 2 according to various indexes in the index system, obtaining various index assignment spatial distribution diagrams, performing weighted superposition analysis according to various evaluation indexes and corresponding weight values, accumulating scores of various single indexes, and obtaining a comprehensive heritage community coincidence score of each grid.
Preferably, the step S6 includes nuclear density analysis: connecting the heritage community coincidence degree score of each grid to the center point of the grid, further calculating the kernel density value of the heritage community coincidence degree around each grid in the research area, outputting a spatial clustering distribution diagram with the result of the heritage community coincidence degree, and reflecting the aggregation degree of the heritage community coincidence degree in space;
the calculation formula of the nuclear density value is as follows:
wherein r represents the search radius of the nuclear density analysis, (x) a ,y a )(x b ,y b ) And the coordinate values representing the center points of two adjacent grids, wherein n is the number of the center points of the grids in the research area.
The specific principle of the nuclear density value calculation of the invention is as follows: the surface value of the kernel density value surface is decreased from the comprehensive heritage community coincidence degree score value of the central point of each grid to the kernel density analysis searching radius of the point by using a circular neighborhood method, and when the distance from the point is equal to the searching radius, the surface value is 0.
Preferably, the step S7 includes comprehensively analyzing the spatial distribution of each element constituting the cultural ecological system, defining a heritage protection area (heritage community candidate area) according to the coincidence degree, and dividing three planar distribution protection areas of a key protection area, a general protection area and an ecological support area.
More preferably, the accent protection region: the most enriched area of cultural resources and the core of the cultural ecological system play a role in radiation driving to other surrounding areas, are space fulcra of the cultural ecological system and are the most important core areas of the whole cultural ecological protection area. The protection region is generally divided by using villages and towns (streets) as space units. The traditional culture activity in the key protection area is rich, the inheritance is good, the confidence and acceptance of the masses to the traditional culture are high, and the culture has strong sustainable development capability in the area.
More preferably, the general protection zone: the auxiliary functional area of the cultural ecological system has fewer non-matter cultural heritage projects or representative passers-by in the range, but the masses have higher acceptance to the traditional culture and are regional areas of cultural main radiation influence;
more preferably, the ecological support area: the natural ecological environment is a region with better preservation, is a region with typical representation of the natural environment in the cultural ecological system, is a natural background condition and natural supporting matrix for generating the cultural ecological system, and is an integral ecological environment formed by various natural protection areas, forest parks, scenic spots and other resource areas.
In summary, the invention has the following beneficial effects: according to the digital identification method of the cultural heritage community, the non-material cultural heritage distribution in the research range and the natural environment condition on which the non-material cultural heritage distribution depends are identified and judged; the method is beneficial to defining the specific range, the protection mode and the protection key point of the protection of the non-material cultural heritage resources, and improves the scientificity and the effectiveness of government department planning.
Drawings
FIG. 1 is a diagram of evaluating endanger of non-material cultural heritage projects of a Diqing cultural heritage community.
Detailed Description
A method for identifying and constructing a heritage community comprises the following steps:
step 1, determining research scope and precision requirement of research area of heritage community identification, and acquiring natural ecological environment and cultural heritage resource information, natural environment base map, cultural heritage resource distribution map and the like in the research area by means of in-situ interview, reference of literature data and the like
And 2, converting the obtained information of all natural ecological environments and non-material cultural heritage resources into a data format with geographical information in an ArcGIS system, dividing a research area into regular grids according to the precision requirement of the research area, wherein the grid division has the effect of unifying the data precision, and is convenient for further space analysis and calculation.
Step 3, determining a heritage community assessment index, wherein the assessment index comprises two major categories of natural environment indexes and heritage resource indexes, and the natural environment indexes comprise: vegetation, soil, precipitation, temperature, land cover, elevation, etc., cultural heritage indexes include: including folk literature, traditional music, traditional dance, traditional drama, traditional song, traditional sports recreation, traditional art, traditional skills, traditional medicine, traditional folk-custom and other non-matter cultural heritage projects, representative inheritance places, typical event and activity places, traditional villages, relevant historical relic ancient places and the like, so as to construct a heritage community identification evaluation index system.
And 4, adopting an analytic hierarchy process, and determining weight values corresponding to all evaluation indexes in the index system by inviting a plurality of experts in the related field to perform weight scoring.
Step 5, assigning values to the grids in the step 2 according to various indexes in an index system to obtain various index assignment spatial distribution diagrams, performing weighted superposition analysis according to various evaluation indexes and corresponding weight values, accumulating scores of various single indexes, and obtaining comprehensive heritage community coincidence scores of each grid
Step 6, nuclear density analysis: the heritage community coincidence degree score of each grid is connected to the center point of the grid, the kernel density value of the heritage community coincidence degree around each grid in the research area is calculated, the output result is a spatial clustering distribution diagram of the heritage community coincidence degree, and the aggregation degree of the heritage community coincidence degree in space is reflected.
The calculation formula of the nuclear density value is as follows:
wherein r represents the search radius of the nuclear density analysis, (x) a ,y a )(x b ,y b ) Coordinate values representing the center points of two adjacent grids, n being the number of grid center points of the investigation region
The specific principle of the kernel density value calculation is as follows: the surface value of the kernel density value surface is decreased from the comprehensive heritage community coincidence degree score value of the central point of each grid to the kernel density analysis searching radius of the point by using a circular neighborhood method, and when the distance from the point is equal to the searching radius, the surface value is 0.
Step 7, comprehensively analyzing the spatial distribution of each element forming the cultural ecological system, defining a heritage protection area (heritage community candidate area) according to the coincidence degree, wherein factors influencing the division of the protection area comprise important non-material cultural heritage projects, representative inheritors, material carriers closely related to the inheritance of the non-material cultural heritage projects, cultural sites and natural and humane ecological environments on which the non-material cultural heritage depends, particularly important cultural space carriers such as cultural relics ancient sites, traditional villages and the like, and dividing three types of planar distribution protection areas of an important protection area, a general protection area and an ecological support area
Key protection area: the most enriched area of cultural resources and the core of the cultural ecological system play a role in radiation driving to other surrounding areas, are space fulcra of the cultural ecological system and are the most important core areas of the whole cultural ecological protection area. The protection region is generally divided by using villages and towns (streets) as space units. The traditional culture activity in the key protection area is rich, the inheritance is good, the confidence and acceptance of the masses to the traditional culture are high, and the culture has strong sustainable development capability in the area.
General protection zone: the auxiliary functional area of the cultural ecological system has fewer non-matter cultural heritage projects or representative passers-by in the scope, but the masses have higher acceptance to the traditional culture and are regional areas of cultural main radiation influence.
Ecological support area: the natural ecological environment is a region with better preservation, is a region with typical representation of the natural environment in the cultural ecological system, is a natural background condition and natural supporting matrix for generating the cultural ecological system, and is an integral ecological environment formed by various natural protection areas, forest parks, scenic spots and other resource areas.
And 8, superposing administrative division of the research area on the basis of the key protection area, determining heritage community distribution of the research area, and completing identification of the heritage communities.
The present embodiment is only for explanation of the present invention and is not to be construed as limiting the present invention, and modifications to the present embodiment, which may not creatively contribute to the present invention as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present invention.

Claims (10)

1. A digital identification method of cultural heritage communities is characterized by comprising the following steps:
step S1, determining the research range and the precision requirement of a research area of heritage community identification;
s2, converting the obtained information of all natural ecological environments and non-material cultural heritage resources into a data format with geographic information in an ArcGIS system, wherein the information is located in a geographic space map;
s3, determining a heritage community assessment index;
s4, determining weight values corresponding to all evaluation indexes in the index system by adopting an analytic hierarchy process;
step S5, assigning values to the grids in the step 2 according to various indexes in the index system to obtain various index assignment spatial distribution diagrams;
s6, nuclear density analysis; the calculation formula of the nuclear density value is as follows:
wherein r represents the search radius of the nuclear density analysis, (x) a ,y a )(x b ,y b ) Coordinate values representing two adjacent grid center points, n being the grid center point number of the research area;
s7, comprehensively analyzing the distribution of each element of the cultural ecological system in space, and dividing three planar distribution protection areas of an important protection area, a general protection area and an ecological support area;
and S8, superposing administrative division of the research area on the basis of the key protection area, determining heritage community distribution of the research area, and completing identification of the heritage communities.
2. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S1 comprises the steps of determining the research scope and the precision requirement of a research area of heritage community identification, and acquiring the information of natural ecological environment and cultural heritage resources in the research area, a natural environment base map, a cultural heritage resource distribution map and the like through the modes of on-site visit, reference of literature data and the like.
3. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S2 includes that all the obtained natural ecological environment and non-material cultural heritage resource information are located on a geospatial map, and are converted into a data format with geographic information in an ArcGIS system, and the research area is divided into regular grids according to the precision requirement of the research area, and the grid division function is to unify the data precision, so that further space analysis and calculation are facilitated.
4. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S3 includes determining a heritage community evaluation index, wherein the evaluation index includes two major categories of natural environment indexes and heritage resource indexes, and the natural environment indexes include: vegetation, soil, precipitation, temperature, land cover, elevation, etc., cultural heritage indexes include: including folk literature, traditional music, traditional dance, traditional drama, traditional song, traditional sports recreation, traditional art, traditional skills, traditional medicine, traditional folk-custom and other non-matter cultural heritage projects, representative inheritance places, typical event and activity places, traditional villages, relevant historical relic ancient places and the like, so as to construct a heritage community identification evaluation index system.
5. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S4 comprises the steps of adopting an analytic hierarchy process to determine weight values corresponding to all evaluation indexes in the index system by inviting a plurality of experts in the related field to perform weight scoring.
6. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S5 comprises the steps of assigning values to the grids in the step 2 according to various indexes in an index system, obtaining various index assignment spatial distribution diagrams, carrying out weighted superposition analysis according to various evaluation indexes and corresponding weight values, accumulating scores of various single indexes, and obtaining comprehensive heritage community coincidence scores of each grid.
7. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S6 includes, nuclear density analysis: connecting the heritage community coincidence degree score of each grid to the center point of the grid, further calculating the kernel density value of the heritage community coincidence degree around each grid in the research area, outputting a spatial clustering distribution diagram with the result of the heritage community coincidence degree, and reflecting the aggregation degree of the heritage community coincidence degree in space;
the calculation formula of the nuclear density value is as follows:
wherein r represents the search radius of the nuclear density analysis, (x) a ,y a )(x b ,y b ) And the coordinate values representing the center points of two adjacent grids, wherein n is the number of the center points of the grids in the research area.
8. The method for digital identification of cultural heritage communities according to claim 1, wherein: the step S7 comprises the steps of comprehensively analyzing the distribution of each element of the cultural ecological system in space, defining a heritage protection area (heritage community candidate area) according to the coincidence degree, and dividing three types of planar distribution protection areas of an important protection area, a general protection area and an ecological support area.
9. The method for digital identification of cultural heritage communities according to claim 8, wherein: the key protection area is the most enriched area of cultural resources, the core of the cultural ecological system plays a role in radiation driving to other surrounding areas, is a space fulcrum of the cultural ecological system, and is the most important core area of the whole cultural ecological protection area.
10. The method for digital identification of cultural heritage communities according to claim 8, wherein: the general protection area refers to an auxiliary functional area of a cultural ecological system, which has less non-matter cultural heritage projects or representative passers-by in the scope, but the people have higher acceptance to the traditional culture, and is an area region of cultural main radiation influence.
CN202311543377.7A 2023-11-20 2023-11-20 Digital identification method for cultural heritage communities Pending CN117575396A (en)

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