Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms

标题
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
作者
关键词
Multiobjective evolutionary algorithms, Spatial analysis, Local indicators of spatial aggregation, Fuzzy hot-spots, Financially compromised areas
出版物
ANNALS OF OPERATIONS RESEARCH
Volume 219, Issue 1, Pages 187-202
出版商
Springer Nature
发表日期
2011-01-20
DOI
10.1007/s10479-011-0841-3

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