Department of Geography, University of Buffalo, Buffalo NY 14261, USAJohn Wiley & Sons, LtdThe Application of New Spatial Statistical Methods to the Detection of Geographical Patterns of Crime - Rogerson - 2004 () Citation Context ...Both the chi-square and Moran’s I statistics have an ...
Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of these methods so they are adaptive to local conditions but at the cost of increasing deman...
These spatial methods that incorporate geography directly into their computation can lead to better understanding. The spatial component often takes the form of a measure of shape, density, contiguity, spatial distribution, or proximity. Both traditional and inherently spatial machine learning can play ...
[23] Fotheringham A S. Trends in quantitative methods II: Stressing the computational. Progress in Human Geography, 1998, 22(2): 283-292. [24] Fotheringham A S. Trends in quantitative methods III: Stressing the visual. Progress in Human Geography, 1999, 23(4): 597-606. [25] Boots B,...
The important approach taken in this excellent book is to develop methods for the analysis of spatial patterns based on stochastic models. Similar problems arise in many other disciplines, like archaeology, astronomy and geography. 展开 关键词: CiteSeerX citations Statistical Analysis of Spatial Point...
Dr. Chris Brunsdon is lecturer in computer-based methods in the Department of Town and Country PlanningA. Stewart Fotheringham is Professor of Quantitative GeographyA. Stewart FotheringhamDr. Chris Brunsdon is lecturer in computer-based methods in the Department of Town and Country PlanningA. ...
This viewpoint is inconsistent with the claim that geography matters. 3.01.3.2 Defining a Spatial Weights Matrix In classical statistics and econometrics, the covariance matrix for n locations is the n-by-n identity matrix, I; each of the off-diagonal cell entries is zero. These off-diagonal ...
However, the surveyed spatial data analysis methods are still conducted in the traditional way. A more efficient or parallel way to process spatial data analytics is another challenge. View chapterExplore book Spatial Analysis in Geography M.M. Fischer, in International Encyclopedia of the Social &...
Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain. Progress in Physical Geography, 2023, 47(3): 315-347. DOI:10.1177/03091333221113660 101. Yue, W., Ren, C., Liang, Y. et al. Assessment of ...
Spatial Analysis in Geography; Spatial Decision Support Systems; Spatial Interaction; Spatial Interaction Models; Spatial Optimization Models; Spatial Pattern, Analysis of; Spatial Statistical Methods; Spatial Thinking in the Social Sciences, History of View chapterExplore book Spatial Analysis in Geography ...