Published March 1, 2021 | Version v1

Modeling Data for "Conservation Opportunities and Challenges in Brazil's Roadless and Railroad-Less Areas"

  • 1. Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, Universidade Federal de Minas Gerais; Transportation Research and Environmental Modeling (TREM) Group, Universidade Federal de Minas Gerais; Programa de Pós-Graduação em Engenharia de Produção, Universidade Federal de Minas Gerais; The Center for Development Research (ZEF), Rheinische Friedrich-Wilhelms-Universität Bonn
  • 2. Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Sul; Núcleo de Ecologia de Rodovias e Ferrovias, Universidade Federal do Rio Grande do Sul; Transportation Research and Environmental Modeling (TREM) Group, Universidade Federal de Minas Gerais
  • 3. Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, Universidade Federal de Minas Gerais; Transportation Research and Environmental Modeling (TREM) Group, Universidade Federal de Minas Gerais

Description

Spatial Data and Spatial Models for Conservation Opportunities and Challenges in Brazil’s Roadless and Railroad-Less Areas

Spatial Data is in shapefile (.shp) and raster (.tif) format. 

Spatial Models are included in Python 2.7 script using arcpy as well as ArcGIS v.10.4 models and can be imported as ArcToolboxes.

***Read all instructions for remodeling included in the .txt files.***

Notes

Research Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Files

01_RLRL Areas.zip

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