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R as a GIS: illustrating scale and aggregation problems with forest fire data


Louvet, R and Aryal, J and Josselin, D and Genre-Grandpierre, C, R as a GIS: illustrating scale and aggregation problems with forest fire data, Procedia Environmental Sciences, 27 pp. 66-69. ISSN 1878-0296 (2015) [Refereed Article]


Copyright Statement

Copyright 2015 Published by Elsevier Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

DOI: doi:10.1016/j.proenv.2015.07.118


Using the R language as a GIS applied on forest fire data in South of France, the goal of the research is to emphasize how spatial statistics may depend on the areal units chosen. First, we propose to map the forest fire data at different scale levels based on administrative boundaries. Second, we measure the MAUP by showing scale sensitivity in descriptive statistics and in regression analyses. Finally, although many tools can be used for vector or raster data aggregation and mapping, we discuss why we choose R as a primary analysis tool and R added-value.

Item Details

Item Type:Refereed Article
Keywords:modifiable areal unit problem, forest fire, R
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Fire Management
Objective Division:Environment
Objective Group:Land and Water Management
Objective Field:Forest and Woodlands Land Management
UTAS Author:Aryal, J (Dr Jagannath Aryal)
ID Code:111839
Year Published:2015
Web of Science® Times Cited:2
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2016-10-11
Last Modified:2016-11-15
Downloads:117 View Download Statistics

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