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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: Spatial Statistics 2015, 9-12 June 2015, Avignon, France, pp. 66-69. ISSN 1878-0296 (2015) [Non Refereed Conference Paper]


Copyright Statement

Copyright 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

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:Non Refereed Conference Paper
Keywords:Modifiable Areal Unit Problem, forest fire, R
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Aryal, J (Dr Jagannath Aryal)
ID Code:101309
Year Published:2015
Web of Science® Times Cited:4
Deposited By:Geography and Environmental Studies
Deposited On:2015-06-17
Last Modified:2019-12-11
Downloads:262 View Download Statistics

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