The sage handbook of spatial analysis /
Fotheringham, Stewart A.
The sage handbook of spatial analysis / edited by A. Stewart Fotheringham and Peter A. Rogerson. - xiii, 511 pages ; illustrations ; 26 cm
Includes bibliographical references and index.
Introduction / A. Stewart Fotheringham and Peter A. Rogerson The special nature of spatial data / Robert Haining The role of GIS / David Martin Geovisualization and geovisual analytics / Urška Demšar Availability of spatial data mining techniques / Shashi Shekhar [and others] Spatial autocorrelation / Marie-Josée Fortin and Mark R.T. Dale The modifiable area unit problem (MAUP) / David Wong Spatial weights / Robin Dubin Geostatistics and spatial interpolation / Peter M. Atkinson and Christopher D. Lloyd Spatial sampling / Eric Delmelle Statistical inference for geographical processes / Chris Brunsdon Fuzzy sets in spatial analysis / Vincent B. Robinson Geographically weighted regression / A. Stewart Fotheringham Spatial regression / Luc Anselin Spatial microsimulation / D. Ballas and G.P. Clarke Detection of clustering in spatial data / Lance A. Waller Bayesian spatial analysis / Andrew B. Lawson and Sudipto Banerjee Monitoring changes in spatial patterns / Peter A. Rogerson Case-control clustering for mobile populations / Geoffrey M. Jacquez and Jaymie R. Meliker Neural networks for spatial data analysis / Manfred M. Fischer Geocomputation / Harvey J. Miller Applied retail location models using spatial interaction tools / Morton E. O'Kelly Spatial analysis on a network / Atsuyuki Okabe and Toshiaki Satoh Challenges in spatial analysis / Michael F. Goodchild The future for spatial analysis / Reginald G. Golledge
This Handbook is designed to highlight current issues and techniques in spatial data analysis as well as highlighting future directions for research
9781412910828
Spatial analysis (statistics).
Geography
G7013 SAG
The sage handbook of spatial analysis / edited by A. Stewart Fotheringham and Peter A. Rogerson. - xiii, 511 pages ; illustrations ; 26 cm
Includes bibliographical references and index.
Introduction / A. Stewart Fotheringham and Peter A. Rogerson The special nature of spatial data / Robert Haining The role of GIS / David Martin Geovisualization and geovisual analytics / Urška Demšar Availability of spatial data mining techniques / Shashi Shekhar [and others] Spatial autocorrelation / Marie-Josée Fortin and Mark R.T. Dale The modifiable area unit problem (MAUP) / David Wong Spatial weights / Robin Dubin Geostatistics and spatial interpolation / Peter M. Atkinson and Christopher D. Lloyd Spatial sampling / Eric Delmelle Statistical inference for geographical processes / Chris Brunsdon Fuzzy sets in spatial analysis / Vincent B. Robinson Geographically weighted regression / A. Stewart Fotheringham Spatial regression / Luc Anselin Spatial microsimulation / D. Ballas and G.P. Clarke Detection of clustering in spatial data / Lance A. Waller Bayesian spatial analysis / Andrew B. Lawson and Sudipto Banerjee Monitoring changes in spatial patterns / Peter A. Rogerson Case-control clustering for mobile populations / Geoffrey M. Jacquez and Jaymie R. Meliker Neural networks for spatial data analysis / Manfred M. Fischer Geocomputation / Harvey J. Miller Applied retail location models using spatial interaction tools / Morton E. O'Kelly Spatial analysis on a network / Atsuyuki Okabe and Toshiaki Satoh Challenges in spatial analysis / Michael F. Goodchild The future for spatial analysis / Reginald G. Golledge
This Handbook is designed to highlight current issues and techniques in spatial data analysis as well as highlighting future directions for research
9781412910828
Spatial analysis (statistics).
Geography
G7013 SAG