Comparer des méthodes

	Scan Statistic Cluster Detection	Accessibility Analysis
Domaine	Human Geography	Human Geography
Famille	Process / pipeline	Process / pipeline
Année d'origine	1997	1959
Auteur d'origine	Martin Kulldorff	Walter G. Hansen
Type	Hypothesis-testing method for detecting statistically significant spatial clusters	Spatial index of the ease of reaching opportunities from a location
Source fondatrice	Kulldorff, M. (1997). A spatial scan statistic. Communications in Statistics – Theory and Methods, 26(6), 1481–1496.	Hansen, W. G. (1959). How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73–76.
Alias	Kulldorff Scan Statistic, Spatial Scan Statistic, SaTScan Cluster Detection	Hansen Accessibility, Gravity Accessibility Measure, Potential Accessibility, Spatial Accessibility Index
Apparentées	3	4
Résumé	The spatial scan statistic, introduced by Martin Kulldorff in 1997, is a method for detecting and testing the significance of spatial clusters of events such as disease cases. It moves windows of many sizes and positions across the study region, treating each window as a candidate cluster, and scores it by a likelihood ratio comparing the rate of events inside the window to the rate outside. The window with the highest score is the most likely cluster, and its significance is assessed by Monte Carlo simulation, giving a principled answer to the recurring question of whether an apparent hotspot is real or chance.	Accessibility analysis measures how easily opportunities — jobs, shops, clinics, parks — can be reached from a given location, combining the attractiveness (size) of destinations with the cost of travelling to them. The gravity-based formulation introduced by Walter Hansen in 1959 sums the opportunities at all destinations, each discounted by a distance-decay function of travel cost, producing a single accessibility score per origin that has become a foundational concept in transport geography and urban planning.