Spatial analysis (Statistics)
Overview
Works: | 53 works in 23 publications in 23 languages |
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Titles
A primer for spatial econometrics = with applications in R, STATA and Python /
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Random networks for communication : = from statistical physics to information systems /
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Spatial socio-econometric modeling (SSEM) = a low-code toolkit for spatial data science and interactive visualizations using R /
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Spatial analysis and modeling in geographical transformation process = GIS-based applications /
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GIS and spatial analysis for the social sciences = coding, mapping and modeling /
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Discovery of geospatial resources = methodologies, technologies, and emergent applications /
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Peripheralization = the making of spatial dependencies and social injustice /
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Stochastic geometry, spatial statistics and random fields = asymptotic methods /
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Defining the spatial scale in modern regional analysis = new challenges from data at local level /
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Spatial AutoRegression (SAR) model = parameter estimation techniques /
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Emerging methods and multidisciplinary applications in geospatial research
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Spatio-temporal design DUP_1 = advances in efficient data acquisition /
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Space-time integration in geography and GIScience = research frontiers in the US and China /
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Stochastic geometry, spatial statistics and random fields = models and algorithms /
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Statistical analysis of spatial and spatio-temporal point patterns
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Spatial econometrics = qualitative and limited dependent variables /
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Spatial interaction models = facility location using game theory /
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Spatiotemporal frequent pattern mining from evolving region trajectories
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