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Quantitative geography : perspectives on spatial data analysis
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In this article, the role of Geographic Information Systems Exploring Spatial Data Visually Local Analysis Point Pattern Analysis Spatial Regression and Geostatistical Models Statistical Inference for Spatial data Spatial Modelling and the Evolution of Spatial Theory Challenges in SPatial Data AnalysisAbstract:
Establishing the Boundaries Spatial Data The Role of Geographic Information Systems Exploring Spatial Data Visually Local Analysis Point Pattern Analysis Spatial Regression and Geostatistical Models Statistical Inference for Spatial Data Spatial Modelling and the Evolution of Spatial Theory Challenges in Spatial Data Analysisread more
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Spatial Analysis A Guide for Ecologists
TL;DR: In this paper, the authors present a spatial analysis of complete point location data, including points, lines, and graphs, and a multiscale analysis of the data set, including spatial diversity analysis and spatial autocorrelation.
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Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region:
Wenjun Luo,Fujian Wang +1 more
TL;DR: Two GIS-based accessibility measures into one framework are synthesized, and the sensitivity of results are analyzed by experimenting with ranges of threshold travel times in the FCA method and travel friction coefficients in the gravity model.
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Spatial Data Analysis: Theory and Practice
TL;DR: This work focuses on the development of models for statistical modeling of spatial variation in the context of scientific and policy context, as well as the nature of spatial data.
Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality.
Daniel Krewski,Michael Jerrett,Rick Burnett,Renjun Ma,Edward Hughes,Yuanli Shi,Michelle C. Turner,Pope Ca rd,George D. Thurston,Eugenia E. Calle,Michael J. Thun,Bernardo Beckerman,Patrick F. DeLuca,Norm Finkelstein,K. Ito,D. K. Moore,K. B. Newbold,Tim Ramsay,Zev Ross,Shin H,Barbara Tempalski +20 more
TL;DR: An extended follow-up and spatial analysis of the American Cancer Society Cancer Prevention Study II (CPS-II) cohort was conducted in order to further examine associations between long-term exposure to particulate air pollution and mortality in large U.S. cities.
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Kernel density estimation and K-means clustering to profile road accident hotspots.
TL;DR: A methodology using Geographical Information Systems (GIS) and Kernel Density Estimation to study the spatial patterns of injury related road accidents in London, UK and a clustering methodology using environmental data and results from the first section in order to create a classification of road accident hotspots are presented.
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The Death and Life of Great American Cities
TL;DR: The conditions for city diversity, the generators of diversity, and the need for mixed primary uses are discussed in this paper, with a focus on the use of small blocks for small blocks.