LU505590B1 - A digital identification method for cultural heritage communities - Google Patents
A digital identification method for cultural heritage communities Download PDFInfo
- Publication number
- LU505590B1 LU505590B1 LU505590A LU505590A LU505590B1 LU 505590 B1 LU505590 B1 LU 505590B1 LU 505590 A LU505590 A LU 505590A LU 505590 A LU505590 A LU 505590A LU 505590 B1 LU505590 B1 LU 505590B1
- Authority
- LU
- Luxembourg
- Prior art keywords
- heritage
- cultural
- community
- area
- communities
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000011160 research Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims abstract description 15
- 238000010586 diagram Methods 0.000 claims abstract description 3
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 3
- 238000012732 spatial analysis Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 2
- 238000010276 construction Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 239000000969 carrier Substances 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 101000579646 Penaeus vannamei Penaeidin-1 Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Computational Linguistics (AREA)
- Remote Sensing (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the field of electronic digital data processing, in particular to a digital identification method for a cultural heritage community. It includes: Step S1, clarifying the research scope and precision requirements of the research area of heritage community identification; Step S2,converted into the data format with geographic information in the ArcGIS system; Step S3, determine the heritage community assessment indicators; Step S4, determine the corresponding weight value of each evaluation index; Step S5, obtain the spatial distribution diagram of various index assignments; Step S6, nuclear density analysis; Step S7, divided into three types of planar distribution protection areas; Step S8, determine the distribution of heritage communities in the study area, complete the identification of heritage communities. The invention can identify and judge heritage communities according to the distribution of intangible cultural heritage within the research scope and the natural environment on which it depends.
Description
A digital identification method for cultural heritage communities
The invention relates to the field of electronic digital data processing, in particular to a digital identification method for a cultural heritage community.
Background technique
Community is the "inheritance mother" for the inheritance and survival of intangible cultural heritage in the cultural ecological protection area, and intangible cultural heritage 1s mainly created, enjoyed and passed on by people living in the community,however, communities are particularly vulnerable or marginalized in the protection of intangible cultural heritage, which is mainly promoted by government agencies,in order to avoid or change these conditions, the concept of "seeing people, seeing things, seeing life" emphasizes the protection of the traditional life of residents in the core regional communities, from concept to concrete implementation, it reflects the importance of community knowledge, community decision-making, community benefit and other issues,this study proposes the concept of heritage community, builds key areas of the overall protection of intangible cultural heritage and traditional cultural inheritance network system, develops community development and construction plans for key heritage communities, improves the infrastructure of living and cultural space and related environmental features, and develops community cultural identity and cohesion,explore the construction of a vibrant community organization management system and mechanism,delimit characteristic towns and key communities in space as the spatial fulcrum of the cultural ecological network, formulate detailed community development and construction plans, and improve the infrastructure and related environmental features of the living and cultural space,at the same time, the project advocates a management model that balances residents' rights and interests with the protection of intangible cultural heritage,through the establishment of a community organization management mechanism, local residents can effectively share the ecological, economic and tourism benefits of the cultural ecological protection area, and cultivate community cultural identity and cohesion.
The invention aims to provide a digital identification method for the cultural heritage community, and identify and judge the heritage community according to the distribution of the intangible cultural heritage and the natural environment on which it depends within the research 09590 scope.
The technical purpose of the invention is realized through the following technical schemes: an approach to digital identification of cultural heritage communities, including the following steps: step S1, clarify the research scope and precision requirements of the research area of heritage community identification; step S2, all the obtained information of natural ecological environment and intangible cultural heritage resources is located on the geographic spatial map and converted into the data format with geographic information in the ArcGIS system; step S3, determine the heritage community assessment indicators; step S4, the analytic hierarchy process is adopted to determine the corresponding weight value of each evaluation index in the above indicator system; step S5, assign values to the grid in step 2 according to various indicators in the index system, and obtain the spatial distribution diagram of the assigned values of various indicators; step S6, nuclear density analysis; the formula for calculating the kernel density value is:
PEN 1 Les > ; (ax ¥ 4 (5, we Yo ) | )
Ju) =—— 2X [ De
TY nem A N re J where r represents the search radius of the nuclear density analysis, (Xa, ya) (Xb,yv ) represents the coordinate value of the center point of the two adjacent grids,n is the number of grid center points in the study area; step S7, a comprehensive analysis of the spatial distribution of the elements that constitute the cultural ecosystem, divided into three types of planar distribution reserves: "key protected areas", "general protected areas" and "ecological support areas"; step S8, based on the key protected areas, superimpose the administrative divisions of the study area, determine the distribution of heritage communities in the study area, and complete the identification of heritage communities.
As a preferred choice, the step S1 includes clarifying the research scope of heritage community identification and the accuracy requirements of the research area, obtaining the 505590 information of natural ecological environment and cultural heritage resources in the research area, as well as the base map of natural environment and the distribution map of cultural heritage resources through field visits and literature review.
As a preferred option, step S2 includes converting all the obtained natural ecological environment and intangible cultural heritage resource information into data format with geographic information in the ArcGIS system, and dividing the research area into regular grids according to the accuracy requirements of the research area,the function of grid division is to unify the data accuracy, it is convenient for further spatial analysis and calculation.
As a preferred option, the step S3 includes the determination of heritage community evaluation indicators, which include natural environment indicators and heritage resource indicators,natural environment indicators include: vegetation, soil, precipitation, temperature, land cover, elevation, etc;cultural heritage indicators include: including the birthplace of intangible cultural heritage items such as folk literature, traditional music, traditional dance, traditional drama, traditional folk art, traditional art, traditional medicine, traditional folk custom, the location of representative inheritors, heritage sites, typical events and activities, traditional villages, and related historical relics and monuments, etc;then construct the index system of heritage community identification and evaluation.
As a preferred option, step S4 consists of using analytic hierarchy process (AHP) to determine the weight value corresponding to each evaluation indicator in the above indicator system by inviting multiple experts in the relevant fields to perform weight scoring.
As a preferred option, step S5 consists of assigning values to the grid in step 2 according to various indicators in the index system, obtaining the spatial distribution map of assigning values to various indicators, performing weighted superposition analysis according to each evaluation indicator and corresponding weight value, accumulating the scores of each single indicator, and obtaining the comprehensive heritage community compliance score of each grid.
As a preferred choice, the step S6 includes: kernel density analysis: connect the heritage community compliance score of each grid to the center point of the grid, and then calculate the kernel density value of the heritage community compliance around each grid in the study area,the output result is the spatial clustering distribution map of the heritage community compliance, reflecting the spatial clustering degree of the heritage community compliance; 0505580 the formula for calculating the kernel density value 1s: fix dK en) mn)
Corr À J x À where r represents the search radius of nuclear density analysis, (xa,ya) (Xb,yb) represents the coordinate value of the center points of the two adjacent grids, where n 1s the center point of the grid in the study area.
The specific principle of calculating the kernel density value of the invention refers to that: using the circular neighborhood method, the surface value of the kernel density value surface decreases from the comprehensive heritage community conformity score value of each grid center point to the search radius of the nuclear density analysis of the point, and when the distance from the point is equal to the search radius, the surface value is 0.
As a preferred option, step S7 includes a comprehensive analysis of the spatial distribution of the elements that constitute the cultural ecosystem, and designating the heritage protection area (heritage community alternative area) according to the degree of conformity, and dividing the three types of faceted distribution protection areas into "key protection areas", "general protection areas" and "ecological support areas".
More preferably, the key protected area is the most enriched area of cultural resources, the core of the cultural ecosystem, plays a radiating role in other surrounding areas, is the spatial fulcrum of the cultural ecosystem, and is also the most important core area of the whole cultural ecological protected area,generally, towns (streets) are used as spatial units to divide protection areas, the traditional cultural activities in the key protected areas are rich and well passed on, and the masses have a high degree of self-trust and acceptance of traditional culture, and the culture has a strong ability of sustainable development in this region.
More preferably, the general protected area refers to the auxiliary functional area of the cultural ecosystem, within which there are few intangible cultural heritage projects or representative inheritors, but the public has a high degree of recognition of traditional culture, and it is the main radiating influence of culture.
More preferably, the ecological support area: the natural ecological environment is well 202290 preserved area, is a typical representative of the natural environment in the cultural ecosystem, is the natural background conditions and natural support matrix of the cultural ecosystem, and is an overall ecological environment composed of various natural reserves, forest parks, scenic spots 5 and other resource areas.
In summary, the invention has the following beneficial effects: according to the digital identification method of the cultural heritage community of the invention, the distribution of the intangible cultural heritage within the research scope and the natural environment on which it depends, the heritage community can be identified; It will help clarify the specific scope, protection methods and protection priorities of the protection of intangible cultural heritage resources, and improve the scientific and effective planning of government departments.
An approach to the identification and construction of heritage communities, including the following steps:
Step 1, clarify the research scope of heritage community identification and the accuracy requirements of the research area, and obtain the information of natural ecological environment and cultural heritage resources in the research area, as well as the base map of natural environment and the distribution map of cultural heritage resources through field visits and literature review.
Step 2, all the obtained information of natural ecological environment and intangible cultural heritage resources is located on the geospatial map and converted into the data format with geographic information in the ArcGIS system, the research area is divided into regular grids according to the accuracy requirements of the research area, the function of grid division is to unify the data accuracy and facilitate further spatial analysis and calculation.
Step 3, determine the evaluation indicators of heritage communities, which include natural environment indicators and heritage resource indicators,the natural environment indicators include vegetation, soil, precipitation, temperature, land cover, elevation, etc, the cultural heritage indicators include: Including the birthplace of intangible cultural heritage items such as folk literature, traditional music, traditional dance, traditional drama, traditional folk art, traditional art, traditional medicine, traditional folk custom, the location of representative inheritors, heritage sites, typical events and activities, traditional villages, and related historical 0200 relics and monuments, etc, then construct the index system of heritage community identification and evaluation.
Step 4, the analytic hierarchy process is adopted to determine the corresponding weight values of each evaluation index in the above indicator system by inviting several experts in related fields to score the weights.
Step 5, assign values to the grid in step 2 according to various indicators in the index system to obtain the spatial distribution map of the assigned values of various indicators, perform weighted superposition analysis according to each evaluation indicator and the corresponding weight value, accumulate the scores of each single indicator, and obtain the comprehensive heritage community compliance score of each grid.
Step 6, kernel density analysis: the heritage community compliance score of each grid is connected to the center point of the grid, and then the kernel density value of the heritage community compliance around each grid in the study area is calculated, the output result is the spatial clustering distribution map of the heritage community compliance, reflecting the spatial clustering degree of the heritage community compliance.
The calculation formula of kernel density value is: he 35 15) where r represents the search radius of nuclear density analysis, (xa,ya) (Xb,yb) represents the coordinate value of the center points of the two adjacent grids, where n is the center point of the grid in the study area.
The specific principle of kernel density value calculation is that: using the circular neighborhood method, the surface value of the kernel density value surface decreases from the comprehensive heritage community conformity score of each grid center point to the nuclear density analysis search radius of the point,when the distance from the point is equal to the search radius, the surface value is 0.
Step 7, comprehensively analyze the spatial distribution of the elements that constitute the cultural ecosystem, and delimit the heritage protection area (heritage community alternative area) 09590 according to the degree of conformity. Factors affecting the division of protected areas include important intangible cultural heritage items, representative inheritors, material carriers closely related to the inheritance of intangible cultural heritage items, cultural sites, and natural and humanistic ecological environments on which intangible cultural heritage depends, especially important cultural relics, historic sites, traditional villages and other historical and cultural space carriers, it is divided into three types: "key protected areas", "general protected areas" and "ecological support areas".
Key protected areas: the most enriched area of cultural resources, the core of the cultural ecosystem, plays a radiating role in other surrounding regions, is the spatial fulcrum of the cultural ecosystem, and is also the most important core area of the whole cultural ecological protection area, generally, towns (streets) are used as spatial units to divide protection areas, the traditional cultural activities in the key protected areas are rich and well passed on, and the masses have a high degree of self-trust and acceptance of traditional culture, and the culture has a strong ability of sustainable development in this region.
General protected areas: auxiliary functional areas of cultural ecosystems, within which there are few intangible cultural heritage projects or representative inheritors, but the public has a high degree of recognition of traditional culture, is the main cultural radiation of the region.
Ecological support area: a region with a well preserved natural ecological environment, a typical representative of the natural environment in the cultural ecosystem, a natural background condition and natural supporting matrix for the generation of cultural ecosystem, and an overall ecological environment composed of various natural reserves, forest parks, scenic spots and other resource areas.
Step 8, on the basis of key protected areas, overlay the administrative divisions of the study area, determine the distribution of heritage communities in the study area, and complete the identification of heritage communities.
The specific embodiment is only the interpretation of the invention, it is not a limitation of the invention, the technical personnel in the field after reading the specification can make no creative contribution to the embodiment according to the need to modify, but as long as within the scope of the claims of the invention are protected by the patent law.
Claims (10)
1. A method of digital identification of cultural heritage communities characterized by including the following steps: Step S1, clarify the research scope and precision requirements of the research area of heritage community identification; Step S2, all the obtained information of natural ecological environment and intangible cultural heritage resources is located on the geographic spatial map and converted into the data format with geographic information in the ArcGIS system; Step S3, determine the heritage community assessment indicators; Step S4, the analytic hierarchy process 1s adopted to determine the corresponding weight value of each evaluation index in the above indicator system; Step S5, assign values to the grid in Step 2 according to various indicators in the index system, and obtain the spatial distribution diagram of the assigned values of various indicators; Step S6, nuclear density analysis; The formula for calculating the kernel density value 1s: à 1 à | (x, N Yay I y y PU get CF 4 | A0 TR En JA) 35 1-4 A ) Where r represents the search radius of the nuclear density analysis, (xa,ya) (xb,yb) represents the coordinate value of the center point of the two adjacent grids,n is the number of grid center points in the study area. Step S7, a comprehensive analysis of the spatial distribution of the elements that constitute the cultural ecosystem, divided into three types of planar distribution reserves: "key protected areas", "general protected areas" and "ecological support areas"; Step S8, based on the key protected areas, superimpose the administrative divisions of the study area, determine the distribution of heritage communities in the study area, and complete the identification of heritage communities.
2. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S1 includes clarifying the research scope of heritage community identification and the precision requirements of the research area, obtaining the information of natural ecological environment and cultural heritage resources in the research area, as well as the 905590 base map of natural environment and the distribution map of cultural heritage resources through field visits and literature review.
3. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S2 includes converting all the obtained information of natural ecological environment and intangible cultural heritage resources into data format with geographic information in the ArcGIS system, and dividing the research area into regular grids according to the accuracy requirements of the research area. The function of grid division is to unify the data accuracy and facilitate further spatial analysis and calculation.
4. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the said step S3 includes the determination of evaluation indicators of heritage community, which include two categories: natural environment indicators and heritage resource indicators; natural environment indicators include: vegetation, soil, precipitation, temperature, land cover, elevation, etc.; cultural heritage indicators include: Including the birthplace of intangible cultural heritage items such as folk literature, traditional music, traditional dance, traditional drama, traditional folk art, traditional art, traditional medicine, traditional folk custom, the location of representative inheritors, heritage sites, typical events and activities, traditional villages, and related historical relics and monuments, etc, then construct the index system of heritage community identification and evaluation.
5. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S4 include: using analytic hierarchy process, by inviting a number of experts in related fields to score weights, to determine the weight value corresponding to each evaluation index in the indicator system.
6. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S5 consists of assigning values to the grid in step 2 according to various indicators in the index system, obtaining the spatial distribution map of assigning values to various indicators, carrying out weighted superposition analysis according to each evaluation indicator and corresponding weight value, accumulating the scores of each single indicator, and obtaining the comprehensive heritage community compliance score of each grid.
7. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S6 includes, nuclear density analysis: the heritage community 09590 conformity score of each grid was connected to the center point of the grid, and then the kernel density value of the heritage community conformity around each grid in the study area was calculated. the output result was the spatial clustering distribution map of the heritage community conformity, reflecting the spatial clustering degree of the heritage community conformity; the calculation formula of kernel density value 1s: _ u f ns WE OF AS where r represents the search radius of nuclear density analysis, (xa,ya) (xb,yb) represents the coordinate value of the center points of the two adjacent grids, where n is the center point of the grid in the study area.
8. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the step S7 includes a comprehensive analysis of the spatial distribution of various elements that constitute the cultural ecosystem, and designating the heritage protection area (heritage community alternative area) according to the degree of conformity, and dividing the three types of faceted distribution protection areas into "key protection areas", "general protection areas" and "ecological support areas".
9. The method of digital identification of cultural heritage communities according to claim 8 is characterized by: the key protected area refers to the area with the most abundant cultural resources, the core of the cultural ecosystem, plays a radiating role in other surrounding areas, is the spatial fulcrum of the cultural ecosystem, and is also the most important core area of the whole cultural ecological protected area, generally, towns (streets) are used as spatial units to divide protection areas, the traditional cultural activities in the key protected areas are rich and well passed on, and the masses have a high degree of self-trust and acceptance of traditional culture, and the culture has a strong ability of sustainable development in this region.
10. The method of digital identification of cultural heritage communities according to claim 1 is characterized by: the general protected area are as follows: the general protected area refers to the auxiliary functional area of the cultural ecosystem, within which there are few intangible. 505590 cultural heritage items or representative inheritors, but the public has a high degree of recognition of traditional culture, and it is the area of the main radiation influence of culture.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
LU505590A LU505590B1 (en) | 2023-11-21 | 2023-11-21 | A digital identification method for cultural heritage communities |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
LU505590A LU505590B1 (en) | 2023-11-21 | 2023-11-21 | A digital identification method for cultural heritage communities |
Publications (1)
Publication Number | Publication Date |
---|---|
LU505590B1 true LU505590B1 (en) | 2024-05-21 |
Family
ID=91227680
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
LU505590A LU505590B1 (en) | 2023-11-21 | 2023-11-21 | A digital identification method for cultural heritage communities |
Country Status (1)
Country | Link |
---|---|
LU (1) | LU505590B1 (en) |
-
2023
- 2023-11-21 LU LU505590A patent/LU505590B1/en active IP Right Grant
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Guan et al. | The concept of urban intensity and China's townization policy: Cases from Zhejiang Province | |
CN107133900B (en) | Urban land mixed utilization feature grid computing method and device | |
AU2021435561A1 (en) | Big data-based commercial space quality evaluation method and system, device, and medium | |
Miller et al. | A methodology for analyzing rare species distribution patterns utilizing GIS technology: The rare birds of Tanzania | |
Wu et al. | Urban landscape as a spatial representation of land rent: A quantitative analysis | |
CN112087716A (en) | Community life circle boundary measuring method, system, computer equipment and storage medium | |
CN116863097A (en) | Space environment data model construction method and device | |
CN116976692A (en) | Traditional village classification partition protection control method based on adaptive circulation path | |
CN115796629A (en) | Traditional village vitality quantitative evaluation method and system, electronic equipment and storage medium | |
CN101840541A (en) | Method for generally surveying resources by utilizing 3S technology and application thereof | |
Yang et al. | Analysis of Urban Vitality in Nanjing Based on a Plot Boundary-Based Neural Network Weighted Regression Model | |
LU505590B1 (en) | A digital identification method for cultural heritage communities | |
Liu et al. | An integrated method used to value recreation land–a case study of Sweden | |
CN115063175A (en) | Shop service range defining method, system, computer device and storage medium | |
Song et al. | Analysis of the spatial morphology facing wind environment in Harbin central area | |
Liu | Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet | |
CN113780880A (en) | PM based on space representativeness2.5Method for evaluating layout of observation site | |
Zhang | Efficient frequent sequence mining on taxi trip records using road network shortcuts | |
CN117575396A (en) | Digital identification method for cultural heritage communities | |
Phithakkitnukoon et al. | Temporary migration flow inference and analysis from perspective of mobile phone network data | |
Bariar et al. | Development of GIS based spatial data infrastructure for micro-level planning | |
CN117931978B (en) | Basin human settlement data analysis method and system and computer equipment | |
Zhang et al. | Education equality and its influencing factors for migrant children in the compulsory education stage based on multi-source data: A case study of dalian, China | |
Wu et al. | Applying and Evaluating Data-Driven Fine Grid Partitioning Methods for Traffic Analysis Zones | |
Tongyan et al. | Spatial Structure and Development of Tourism Resources based on Point Pattern Analysis: A Case Study in Hainan Island, China |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
FG | Patent granted |
Effective date: 20240521 |