2010
DOI: 10.1111/j.1467-9787.2009.00642.x
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Quantitative Geography

Abstract: This paper provides an overview of quantitative geography. In addition to discussing what quantitative geography is, the paper details the methods that have come to define it. Six broad categories are used to discuss the range of methods found in quantitative geography: geographic information systems; airborne sensing (global positioning system, photogrammetry, and remote sensing); statistics and exploratory spatial data analysis; mathematics and optimization; regional analysis; and computer science and simula… Show more

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Cited by 48 publications
(13 citation statements)
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“…ESDA is a collection of techniques to describe and visualize spatial patterns by graphic and map-based visualization and to facilitate hypothesis formulation and testing. 25,26 In this study, the spatial scan statistics based on probability models are used to explore spatial clustering of out-of-facility deliveries. Typically, a cluster in health research represents a group of individuals with unusually high or low rates of a medical condition or outcome of interest.…”
Section: Methodsmentioning
confidence: 99%
“…ESDA is a collection of techniques to describe and visualize spatial patterns by graphic and map-based visualization and to facilitate hypothesis formulation and testing. 25,26 In this study, the spatial scan statistics based on probability models are used to explore spatial clustering of out-of-facility deliveries. Typically, a cluster in health research represents a group of individuals with unusually high or low rates of a medical condition or outcome of interest.…”
Section: Methodsmentioning
confidence: 99%
“…Effectively, ESDA is a collection of techniques to describe and visualize spatial distributions, identify atypical observations or spatial outliers, discover patterns of spatial association, clusters, or hot spots, and suggest spatial regimes (Anselin, 1994, 1998; Murray, 2010). A diagram summarizing and categorizing techniques associated with ESDA is given in Fig.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, spatial analysis using GIS can provide insights into spatial relationships among different factors for subsequent hypothesis testing regarding space-time patterns that otherwise cannot be detected. Exploratory spatial data analysis (ESDA) is a collection of techniques to describe and visualize spatial patterns by graphic and map-based visualization that facilitates hypotheses formulation and testing without prior knowledge of the study context (Anselin, 1994, 1998; Anselin & Bao, 1997; Murray, 2010). The exploratory process can therefore benefit the etiologic investigation seeking possible underlying factors associated with disease clusters, outbreaks, and similar outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…In the context of the study of presidential elections, scholars concerned with this perennial problem (Turner 1914(Turner , 1926 have detected a sustained geographic preponderance of one party or another. Using the techniques of quantitative geography (Murray 2010), including factor, K-means clustering, and spatial autocorrelation analyses, researchers have confirmed, particularly since the pioneering work of Archer and Taylor (1981), the existence of regions characterized by the electoral preponderance of one of the parties (Republicans or Democrats) or, conversely, by a relative balance between them.…”
Section: Introductionmentioning
confidence: 96%