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--- ser301-2010:softwares-ser301 [2010/09/02 11:47]
miguel
+++ ser301-2010:softwares-ser301 [2021/09/10 14:00] (current)
miguel
@@ Line 11: / Line 11: @@
   ambos armazenados em SGBD Relacionais ou Geo-relacionais livres e/ou de mercado,
   incluindo ACCESS, PostgreSQL, MySQL e Oracle.
-\\
 {{:wiki:logo_pluginterraview.jpg| Plugins TerraView}}
+\\
+[[http://www.dpi.inpe.br/terraview|Faça o Download do TerraView DAQUI!]]
 \\
 [[http://www.dpi.inpe.br/terraview/php/plugins.php|Faça o Download de Plugins TerraView DAQUI!]]
+\\
+\\
 {{:wiki:logo_spring.jpg| SPRING}}
 \\
@@ Line 24: / Line 26: @@
 [[http://www.dpi.inpe.br/spring/|Faça o Download do SPRING DAQUI!]]
+\\
+\\
+{{:wiki:qgis.jpg?100|}}  ** QGIS **
+\\
+     QGIS é um aplicativo profissional GIS Livre e e de Código Aberto,
+     que é construído a partir de Software Livre e de Código Aberto,
+     Free and Open Source Software (FOSS).
+\\
+\\
+[[https://qgis.org/pt_BR/site/|Faça o Download do QGIS DAQUI!]]
+\\
+\\
+{{:wiki:logo_r.jpg| R}} **R -  Computação Estatística**
+\\
+[[ http://www.r-project.org/|Vá para a página do projeto R!]]
+\\
+\\ **Sofwares for the Spatial, Temporal and Space-Time Scan Statistics**
+\\
+{{:wiki:logo_satscan.jpg| SatScan}}
+\\
+\\
+{{:wiki:tree-scan.jpg?100|}}
+\\
+        Software para a Metodologia de Estatística por Varredura para Análises de
+        Dados Espaciais, Temporais e Espaço-Temporais.
+      Kulldorff M, Nagarwalla N. Spatial disease clusters: Detection and Inference.
+      Statistics in Medicine, 14:799-810, 1995.
+      Kulldorff M. A spatial scan statistic. Communications in Statistics:
+      Theory and Methods, 26:1481-1496, 1997.
+\\
+[[ http://www.satscan.org/|Vá para a página do projeto SatScan!]]
+\\
+[[ https://www.treescan.org/|Vá para a página do projeto TreeScan!]]
+\\
+\\
+{{:wiki:logo_geoda.jpg| geoda}} **GeoDa e OpenGeoDa**
+\\
+     Geospatial Analysis and Computation (Luc Anselin)
+\\
+[[ http://www.geodacenter.asu.edu/software |Vá para a página do projeto GeoDa!]]
+\\
+\\
+{{:wiki:mgwr_2.2.jpg?100|}} **MGWR - Multi-scale Geographically Weighted Regression**
+\\
+     Oshan, T.M., Z. Li, W. Kang, L. J. Wolf and A. S. Fotheringham “mgwr: A Python Implementation of Multiscale Geographically Weighted Regression
+     for Investigating Process Spatial Heterogeneity and Scale” ISPRS International Journal of Geo-Information,
+(6) 269 2019. doi:10.3390/ijgi8060269 https://www.mdpi.com/2220-9964/8/6/269/pdf
+\\
+\\
+[[ https://sgsup.asu.edu/sparc/multiscale-gwr/|Vá para a página do projeto MGWR!]]
+\\
+{{:ser301-2010:terrame.jpg?100|}} **TerraME: Multiparadigm Modeling Toolkit**
+\\
+    TerraME is a programming environment for spatial dynamical modelling. It supports cellular automata, agent-based models,
+    and network models running in 2D cell spaces. TerraME provides an interface to TerraLib geographical database,
+    allowing models direct access to geospatial data. Its modelling language has in-built functions that makes it easier
+    to develop multi-scale and multi-paradigm models for environmental applications.
+    Carneiro, T. G. S. ; Andrade, P. R. ; Câmara, G. ; Monteiro, A. M. V. ; Pereira, R. R. . An extensible toolbox for
+    modeling nature-society interactions. Environmental Modelling & Software, 2013 (in press). DOI:10.1016/j.envsoft.2013.03.002.
+\\
+[[ http://www.terrame.org/doku.php |Vá para a página do projeto TerraME!]]
+\\

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