Community recovery from a major natural haz-ard-related disaster can be a long process,and rebuilding likely does not occur uniformly across space and time.Spa-tial and temporal clustering may be evident in certain data types that can be used to frame the progress of recovery fol-lowing a disaster.Publically available building permit data from the city of Joplin,Missouri,were gathered for four per-mit types,including residential,commercial,roof repair,and demolition.The data were used to(1)compare the observed versus expected frequency(chi-square)of permit issuance before and after the EF5 2011 tornado;(2),determine if significant space-time clusters of permits existed using the SaTScanTM cluster analysis program(version 9.7);and(3)fit any emergent cluster data to the widely-cited Kates 10-year recovery model.All permit types showed significant increases in issuance for at least 5 years following the event,and one(residential)showed significance for nine of the 10 years.The cluster analysis revealed a total of 16 significant clusters across the 2011 damage area.The results of fitting the significant cluster data to the Kates model revealed that those data closely followed the model,with some variation in the residential permit data path.

Mitchel Stimers;Sisira Lenagala;Brandon Haddock;Bimal Kanti Paul;Rhett Mohler

Department of Geography and Geology,Park University,Parkville,MO 64152,USA;Geospatial Services,Hillsborough County Florida,Tampa,FL 33602,USA;Department of Geography and Geospatial Sciences,Kansas State University,Manhattan,KS 66506,USA;Department of Geography,Saginaw Valley State University,University Center,MI 48710,USA

国际灾害风险科学学报（英文版）

[1]Mitchel Stimers;Sisira Lenagala;Brandon Haddock;Bimal Kanti Paul;Rhett Mohler-.Space-Time Clustering with the Space-Time Permutation Model in SaTScanTM Applied to Building Permit Data Following the 2011 Joplin,Missouri Tornado)[J].国际灾害风险科学学报（英文版）,2022(06):962-973

SaTScanTM,Permit,Joplin,Publically,EF5,Kates

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