Geographical and Temporal Weighted Regression (GTWR)

Geographical Analysis

Volumn 47, Issue 4, 2015, Pages 431-452

  Fotheringham, A Stewart ^a   Crespo, Ricardo ^b   Yao, Jing ^c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSIDAD BERNARDO O'HIGGINS   (Chile)

^c UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GIS; MODELING; REGRESSION ANALYSIS; SPATIOTEMPORAL ANALYSIS;

ENGLAND; LONDON [ENGLAND]; UNITED KINGDOM;

EID: 84945465775     PISSN: 00167363     EISSN: 15384632     Source Type: Journal    
DOI: 10.1111/gean.12071     Document Type: Article

References (41)

1. Andrienko, G., N. Andrienko, U. Demsar, D. Dransch, J. Dykes, S. I. Fabrikant, M. Kraak, and H. Schumann. (2010). "Space, Time and Visual Analytics." International Journal of Geographical Information Science 24, 1577-1600.
2. Anselin, L. (1999). "Spatial Econometrics." Working paper. Bruton Center, School of Social Sciences, University of Texas at Dallas. Accessed at: http://www.csiss.org/learning_resources/content/papers/baltchap.pdf.
3. Artelaris, P. (2014). "Local versus Regime Convergence Regression Models: A Comparison of Two Approaches." GeoJournal 1-15.
4. Atkinson, P. M., S. E. German, D. A. Sear, and M. J. Clark. (2003). "Exploring the Relations between River Bank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression." Geographical Analysis 35(1), 58-82.
5. Bitter, C., G. Mulligan, and S. Dall'erba. (2007). "Incorporating Spatial Variation in Housing Attribute Prices: A Comparison of Geographically Weighted Regression and the Spatial Expansion Method." Journal of Geographical Systems 9, 7-27.
6. Brunsdon, C., A. S. Fotheringham, and M. Charlton. (1996). "Geographically Weighted Regression: A Method for Exploring Spatial Non-Stationarity." Geographical Analysis 28(4), 281-298.
7. Brunsdon, C., A. S. Fotheringham, and M. Charlton. (1998). "Geographically Weighted Regression-Modelling Spatial Non-Stationarity." The Statistician 47(3), 431-443.
8. Brunsdon, C., J. Corcoran, and G. Higgs. (2007). "Visualizing Space and Time in Crime Patterns: A Comparison of Methods." Computers, Environment and Urban Systems 31, 52-75.
9. Buyantuyev, A., and J. Wu. (2010). "Urban Heat Islands and Landscape Heterogeneity: Linking Spatiotemporal Variations in Surface Temperatures to Land-Cover and Socioeconomic Patterns." Landscape Ecology 25(1), 17-33.
10. Chen, J., S.-L. Shaw, H. Yu, F. Lu, Y. Chai, and Q. Jia. (2011). "Exploratory Data Analysis of Activity Diary Data: A Space-Time GIS Approach." Journal of Transport Geography 19(3), 394-404.
11. Comber, A. J., C. Brunsdon, and R. Radburn. (2011). "A Spatial Analysis of Variations in Health Access: Linking Geography, Socio-Economic Status and Access Perceptions." International Journal of Health Geographics 10, 44. Accessed at: http://www.ij-healthgeographics.com/content/10/1/44.
12. Crespo, R., A. S. Fotheringham, and M. Charlton. (2007). "Application of Geographically Weighted Regression to a 19-Year Set of House Price Data in London to Calibrate Local Hedonic Price Models." In Proceedings of the 9th International Conference on Geocomputation, edited by U. Demšar. Maynooth, Ireland: NCG, NUI.
13. Cressie, N. (1993). Statistics for Spatial Data. New York: Wiley.
14. Cressie, N., and C. K. Wilkie. (2011). Statistics for Spatio-Temporal Data. Hoboken, NJ: John Wiley & Sons, Inc.
15. Demšar, U., and K. Virrantaus. (2010). "Space-Time Density of Trajectories: Exploring Spatio-Temporal Patterns in Movement Data." International Journal of Geographical Information Science 24, 1527-1542.
16. Elhorst, J. (2003). "Specification and Estimation of Spatial Panel Data Models." International Regional Science Review 26(3), 244-268.
17. Fotheringham, A. S., C. Brunsdon, and M. Charlton. (1996). "The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity." International Journal of Geographical Information Systems 10, 605-627.
18. Fotheringham, A. S., M. Charlton, and C. Brunsdon. (1997). "Two Techniques for Exploring Nonstationarity in Geographical Data." Geographical Systems 4, 59-82.
19. Fotheringham, A. S., C. Brunsdon, and M. Charlton. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Wiley.
20. Gelfand, A. E., M. D. Ecker, J. R. Knight, and C. F. Sirmans. (2004). "The Dynamics of Location in Home Prices." Journal of Real Estate Finance and Economics 29, 149-166.
21. Giacinto, V. (2006). "A Generalized Space-Time ARMA Model with an Application to Regional Unemployment Analysis in Italy." International Regional Science Review 29(2), 159-198.
22. Goodchild, M. F. (2013). "Prospects for a Space-Time GIS." Annals of the Association of American Geographers 103(5), 1072-1077.
23. Hägerstrand, T. (1970). "What about People in Regional Science?" Papers of the Regional Science Association 24, 1-12.
24. Harris, P., A. S. Fotheringham, and S. Juggins. (2010). "Robust Geographically Weighted Regression: A Technique for Quantifying Spatial Relationships between Freshwater Acidification Critical Loads and Catchment Attributes." Annals of the Association of American Geographers 100, 286-306.
25. Huang, B., B. Wu, and M. Barry. (2010). "Geographically and Temporally Weighted Regression for Modeling Spatio-Temporal Variation in House Prices." International Journal of Geographical Information Science 24(3), 383-401.
26. Kwan, M. (2000). "Interactive Geovisualization of Activity Travel Patterns Using Three-Dimensional Geographical Information Systems: A Methodological Exploration with a Large Data Set." Transportation Research Part C(8), 185-203.
27. Kwan, M. P. (2004). "GIS Methods in Time-Geographic Research: Geocomputation and Geovisualization of Human Activity Patterns, Geografiska Annaler Series B." Human Geography 86(4), 267-280.
28. Malczewskia, J., and A. Poetzb. (2005). "Residential Burglaries and Neighborhood Socioeconomic Context in London, Ontario: Global and Local Regression Analysis." The Professional Geographer 57(4), 516-529.
29. Mennis, J., and L. Jordan. (2005). "The Distribution of Environmental Equity: Exploring Spatial Nonstationarity in Multivariable Models of Air Toxic Releases." Annal of the Association of Americans Geographers 95(2), 249-268.
30. Nakaya, T., and K. Yano. (2010). "Visualising Crime Clusters in a Space-Time Cube: An Exploratory Data-Analysis Approach Using Space-Time Kernel Density Estimation and Scan Statistics." Transactions in GIS 14(3), 223-239.
31. Nakaya, T., A. Fotheringham, C. Brunsdon, and M. Charlton. (2005). "Geographically Weighted Poisson Regression for Disease Association Mapping." Statistics in Medicine 24, 2695-2717.
32. Pace, K., R. Barry, J. Clapp, and M. Rodriquez. (1998). "Spatiotemporal Autoregressive Models of Neighbourhood Effects." Journal of Real Estate Finance and Economics 17(1), 15-33.
33. Pace, R. K., R. Barry, O. W. Gilley, and C. F. Sirmans. (2000). "A Method for Spatial-Temporal Forecasting with An Application to Real Estate Prices." International Journal of Forecasting 16(2), 229-246.
34. Rey, S. J., and M. V. Janikas. (2010). "STARS: Space-Time Analysis of Regional Systems." In Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications, 91-112, edited by M. M. Fischer and A. Getis. London: Springer.
35. Takahashi, K., M. Kulldorff, T. Tango, and K. Yih. (2008). "A Flexibly Shaped Space-Time Scan Statistic for Disease Outbreak Detection and Monitoring." International Journal of Health Geographics 7, 14. Accessed at: http://www.ij-healthgeographics.com/content/7/1/14.
36. Tobler, W. R. (1970). "A Computer Movie Simulating Urban Growth in the Detroit Region." Economic Geography 46, 234-240.
37. Wheeler, D., and L. Waller. (2009). "Comparing Spatially Varying Coefficient Models: A Case Study Examining Violent Crime Rates and Their Relationships to Alcohol Outlets and Illegal Drug Arrests." Journal of Geographical Systems 11, 1-22.
38. Wrenn, D. H., and A. G. Sam. (2014). "Geographically and Temporally Weighted Likelihood Regression: Exploring the Spatiotemporal Determinants of Land Use Change." Regional Science and Urban Economics 44, 60-74.
39. Wu, B., R. Li, and B. Huang. (2014). "A Geographically and Temporally Weighted Autoregressive Model with Application to Housing Prices." International Journal of Geographical Information Science 28, 1186-1204.
40. Wu, K., B. Liu, B. Huang, and Z. Lei. (2013). "Incorporating the Multi-Cross-Sectional Temporal Effect in Geographically Weighted Logit Regression." In Proceedings of the International Conference on Information Systems and Computing Technology (ISCT), 3-14, edited by L. Zhang and Y. Gu. London: CRC Press, Taylor & Francis Group.
41. Yu, D. (2014). "Understanding Regional Development Mechanisms in Greater Beijing Area, China, 1995-2001, from a Spatial-Temporal Perspective." GeoJournal 79, 195-207.