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R as a GIS: illustrating scale and aggregation problems with forest fire data
Citation
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]
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Copyright Statement
Copyright 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
DOI: doi:10.1016/j.proenv.2015.07.118
Abstract
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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