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矢量元胞自动机中的邻域影响力度量-以深圳市为例

Translated title of the contribution: Neighborhood Effect Measurement in Vector Cellular Automata:A Case Study of Shenzhen
  • Dingwen Zhang
  • , Lin Tang*
  • , Xuan Wang
  • *Corresponding author for this work
  • Real Estate Assement and Development Research Center
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Based on vector cellular automata(CA), we discuss neighborhood effect in land use change simulation of Shenzhen, and build neighborhood effect function by vector enrichment factor and vector neighborhood index. According to Shenzhen road network data and the weights of relevant parameters, the accessibility of parcel and the suitability for development of residential land or productive land are calculated. Meanwhile, land use change simulation can be carried out by combining land use zoning state planned by the government. Kappa coefficient is used to evaluate the consistency between the simulation result and the actual data. Evaluation result shows that a better simulation result can be obtained by combining with the neighborhood effect function when the neighborhood distance radius is 50 m.

Translated title of the contributionNeighborhood Effect Measurement in Vector Cellular Automata:A Case Study of Shenzhen
Original languageChinese (Traditional)
Pages (from-to)92-97
Number of pages6
JournalJournal of Geomatics
Volume46
Issue number3
DOIs
StatePublished - 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

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