Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling - a case study

By Lin Yu-Pin   Chu Hone-Jay   Wu Chen-Fa   Verburg Peter  

International Journal of Geographical Information Science, Vol. 25, Iss. 1, 2011-02 ,pp. : 65-87

Taylor & Francis Ltd

Access to resources Recommend Favorite

Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation

By Van Dessel Wim   Van Rompaey Anton   Szilassi Peter  

International Journal of Geographical Information Science, Vol. 25, Iss. 3, 2011-03 ,pp. : 489-508

Taylor & Francis Ltd

Access to resources Recommend Favorite

Forest Fire Alert System: a Geo Web GIS prioritization model considering land susceptibility and hotspots - a case study in the Carajas National Forest, Brazilian Amazon

By Roberto Barbosa Marcelo   Carlos Sicoli Seoane Jose   Guimaraes Buratto Mario   Santana de Oliveira Dias Leonardo   Paulo Carvalho Raivel Joao   Lobos Martins Flavio  

International Journal of Geographical Information Science, Vol. 24, Iss. 6, 2010-06 ,pp. : 873-901

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparative performance of logistic regression and survival analysis for detecting spatial predictors of land-use change

By          

International Journal of Geographical Information Science, Vol. 27, Iss. 10, 2013-10 ,pp. : 1960-1982

Taylor & Francis Ltd

Access to resources Recommend Favorite

A multinomial logistic mixed model for the prediction of categorical spatial data

By Cao Guofeng   Kyriakidis Phaedon C.   Goodchild Michael F.  

International Journal of Geographical Information Science, Vol. 25, Iss. 12, 2011-12 ,pp. : 2071-2086

Taylor & Francis Ltd

Access to resources Recommend Favorite