LOUVET , Romain

GEOBIA has to deal with several issues which can be considered as "burning research questions, research need and outlook" as expressed in the book edited by T. Blaschke, S. Lang and G. J. Hay in 2008 [2]. Related to quality in a general meaning, one of them is the reliability of the statistics used to find the correct objects boundaries, that...

International audience

The Modifiable Areal Unit Problem (MAUP) is a well-known issue relatedto the influence of the spatial support on statistical observations. It occurs whendifferent spatial units making different spatial partitions are used and when the resultingmeasures vary according to those partitions. In this paper, we first draw a stateof the art....

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...

This paper deals with the problem of bad voters registration which is a current key issue in electoral surveys. It is also related to the Modifiable Areal Unit Problem (Openshaw, 1984) and the ecological inference fallacy (Robinson, 1950), common issues in geography and political science. We propose a series of methods to estimate the bad...

International audience

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...

We developed an algorithm for reducing geometric differences between source and target dataset.The algorithm tackles the polygon overlay problem in electoral geography before using areal in-terpolation methods. Our results show that improvement in matching between statistical areas andpolling areas can reduce up to half of areal interpolation...

International audience