Sensitivity of a standard Land Use Cover change cellular automata model to resample input Land Use Cover maps-Reference-Cited by-同舟云学术

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Sensitivity of a standard Land Use Cover change cellular automata model to resample input Land Use Cover maps

Published:2021-01-14 Issue:4 Volume:103 Page:540-560
ISSN:0373-6245
Container-title:South African Geographical Journal
language:en
Short-container-title:South African Geographical Journal

Author:

García-Álvarez David¹^ORCID,Camacho Olmedo María Teresa¹^ORCID

Affiliation:

1. Departmento de Análisis Geográfico Regional y Geografía Física, University of Granada, Granada, Spain

Funder

Spanish Ministry of Science, Innovation and Universities and the Feder European Regional Development Fund

Spanish Ministry of Economy and Competitiveness and the European Social Fund

University of Granada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03736245.2021.1872413

Reference64 articles.

1. Spatial neighborhood effect and scale issues in the calibration and validation of a dynamic model of Phragmites australis distribution – A cellular automata and machine learning approach

2. Accuracy and congruency of three different digital land-use maps

3. Warning! The scale of land-use CA is changing!

4. Sensitivity of a Land Change Model to Pixel Resolution and Precision of the Independent Variable

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The scale issue in Geospatial Analysis. A Review from the Land Use Cover Change Modelling Perspective;Young Geographers;2023

2. Understanding relationships between landscape multifunctionality and land-use change across spatiotemporal characteristics: Implications for supporting landscape management decisions;Journal of Cleaner Production;2022-12

3. Evaluation and analysis of upscaling of different land use/land cover products (FORM-GLC30, GLC_FCS30, CCI_LC, MCD12Q1 and CNLUCC): a case study in China;Geocarto International;2022-10-09

4. An integrated approach of logistic-MCE-CA-Markov to predict the land use structure and their micro-spatial characteristics analysis in Wuhan metropolitan area, Central China;Environmental Science and Pollution Research;2022-01-08

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