@misc{Allaire2017,
annote = {R package version 0.4},
author = {Allaire, J J and Gandrud, Christopher and Russell, Kenton and Yetman, C J},
title = {{networkD3: D3 JavaScript Network Graphs from R}},
url = {https://cran.r-project.org/package=networkD3},
year = {2017}
}
@article{Gu2014,
author = {Gu, Zuguang and Gu, Lei and Eils, Roland and Schlesner, Matthias and Brors, Benedikt},
journal = {Bioinformatics},
number = {19},
pages = {2811--2812},
title = {{circlize implements and enhances circular visualization in R}},
volume = {30},
year = {2014}
}
@book{Chambers2008,
address = {New York, NY},
author = {Chambers, John},
doi = {10.1007/978-0-387-75936-4},
isbn = {978-0-387-75935-7},
publisher = {Springer New York},
series = {Statistics and Computing},
title = {{Software for Data Analysis}},
url = {http://link.springer.com/10.1007/978-0-387-75936-4},
year = {2008}
}
@misc{Embrapapantanalsite2015,
abstract = {O trabalho de Mapeamento da Cobertura Vegetal e das Altera{\c{c}}{\~{o}}es de Uso do Solo na Bacia do Alto Paraguai (BAP), por{\c{c}}{\~{a}}o brasileira, representa a atualiza{\c{c}}{\~{a}}o do uso da terra na bacia do Alto Paraguai, investigando a din{\^{a}}mica de ocupa{\c{c}}{\~{a}}o da regi{\~{a}}o. Dessa forma, ele oferece informa{\c{c}}{\~{o}}es que d{\^{e}}em subs{\'{i}}dio {\`{a}} tomada de decis{\~{o}}es relacionadas {\`{a}} BAP e auxiliem na sua conserva{\c{c}}{\~{a}}o. endo como base o mapeamento realizado no PROBIO-MMA (Projeto de Conserva{\c{c}}{\~{a}}o e Utiliza{\c{c}}{\~{a}}o Sustent{\'{a}}vel da Diversidade Biol{\'{o}}gica Brasileira do Minist{\'{e}}rio do Meio Ambiente) em 2002, os estudos realizaram um primeiro mapeamento considerando o per{\'{i}}odo de 2002 a 2008. Atualmente, as atualiza{\c{c}}{\~{o}}es s{\~{a}}o feitas de dois em dois anos - portanto, os estudos posteriores datam de 2008 a 2010 e de 2010 a 2012. Atrav{\'{e}}s de uma parceria entre Embrapa Pantanal, Instituto SOS Pantanal e WWF Brasil, com o apoio de diversas institui{\c{c}}{\~{o}}es, o mapeamento mais recente cont{\'{e}}m dados como taxa de desmatamento e percentual de cobertura vegetal.},
author = {{Embrapa Pantanal} and {Instituto SOS Pantanal} and WWF-Brasil},
booktitle = {Embrapa Pantanal},
keywords = {bacia do alto paraguai,sos pantanal,wwf brasil},
mendeley-tags = {bacia do alto paraguai,sos pantanal,wwf brasil},
pages = {1},
title = {{Mapeamento da Bacia do Alto Paraguai}},
year = {2015}
}
@article{Aldwaik2012,
abstract = {This article presents a quantitative method to analyze maps of land categories from several points in time for a single site by considering cross-tabulation matrices, where one matrix summarizes the change in each time interval. There are three levels of analysis, starting from general to more detailed levels, where each level exposes different types of information given the previous level of analysis. First, the interval level examines how the size and speed of change vary across time intervals. Second, the category level examines how the size and intensity of gross losses and gross gains in each category vary across categories for each time interval. Third, the transition level examines how the size and intensity of a category's transitions vary across the other categories that are available for that transition. At each level, the method tests for stationarity of patterns across time intervals. The unique contribution of this article is that it combines all three levels of analysis into one unified framework that we call intensity analysis, where the more detailed levels are conditional on the less detailed levels. The illustrative case study is for seven categories at the Plum Island Ecosystems site in northeastern Massachusetts, USA, where the largest transition is from Forest to Built during 1985, 1991, and 1999. We compare our approach to other established methods such as the Markov approach in order to show how our proposed intensity analysis gives more information concerning five possible reasons to explain why the transitions vary across time and space. {\textcopyright} 2012 Elsevier B.V.},
author = {Aldwaik, Safaa Zakaria and Pontius, Robert Gilmore},
doi = {10.1016/j.landurbplan.2012.02.010},
file = {:L$\backslash$:/ReginalEXAVIER2018{\_}2020/Download/Mendeley{\_}Reginal{\_}Backup/MendeleyDesktop/Aldwaik, Pontius - 2012 - Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and t.pdf:pdf},
isbn = {0169-2046},
issn = {01692046},
journal = {Landsc. Urban Plan.},
keywords = {LULCC,Map,Matrix,Pattern,Process,Stationary},
number = {1},
pages = {103--114},
publisher = {Elsevier B.V.},
title = {{Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition}},
url = {http://dx.doi.org/10.1016/j.landurbplan.2012.02.010},
volume = {106},
year = {2012}
}
@article{Aldwaik2013,
abstract = {Intensity Analysis is a mathematical framework that compares a uniform intensity to observed intensities of temporal changes among categories. Our article summarizes Intensity Analysis and presents a new method to compute the minimum hypothetical error in the data that could account for each observed deviation from a uniform intensity. A larger hypothetical error gives stronger evidence against a hypothesis that a change is uniform. The method produces results for five groups of measurements, which are organized into three levels of analysis: interval, category, and transition. The method applies generally to analysis of changes among categories during time intervals, because the input is a standard contingency table for each time interval. We illustrate the method with a case study concerning change during three time intervals among four land categories in northeastern Massachusetts, USA. Modelers can perform the analysis using our computer program, which is free.},
author = {Aldwaik, Safaa Zakaria and Pontius, Robert Gilmore},
doi = {10.1080/13658816.2013.787618},
file = {:L$\backslash$:/ReginalEXAVIER2018{\_}2020/Download/Mendeley{\_}Reginal{\_}Backup/MendeleyDesktop/Aldwaik, Pontius - 2013 - Map errors that could account for deviations from a uniform intensity of land change.pdf:pdf},
issn = {13658816},
journal = {Int. J. Geogr. Inf. Sci.},
keywords = {Intensity Analysis,category,change,error,time},
number = {9},
pages = {1717--1739},
publisher = {Taylor {\&} Francis},
title = {{Map errors that could account for deviations from a uniform intensity of land change}},
url = {http://dx.doi.org/10.1080/13658816.2013.787618},
volume = {27},
year = {2013}
}
@book{sospantanal2015,
address = {Brasilia},
author = {{Instituto SOS Pantanal} and WWF-Brasil},
edition = {4},
file = {:L$\backslash$:/ReginalEXAVIER2018{\_}2020/Download/Mendeley{\_}Reginal{\_}Backup/MendeleyDesktop/Instituto SOS Pantanal, WWF-Brasil - 2015 - Monitoramento das altera{\c{c}}{\~{o}}es da cobertura vegetal e uso do Solo na Bacia do Alto Paraguai –.pdf:pdf},
isbn = {9788586440250},
keywords = {BAP – Bacia do Alto Paraguai,Cobertura Vegetal,Pantanal,Planalto,Planicie,SOSPantanal,Sensoramento remoto},
mendeley-tags = {BAP – Bacia do Alto Paraguai,Cobertura Vegetal,Pantanal,Planalto,Planicie,Sensoramento remoto},
pages = {66},
title = {{Monitoramento das altera{\c{c}}{\~{o}}es da cobertura vegetal e uso do Solo na Bacia do Alto Paraguai – Por{\c{c}}{\~{a}}o Brasileira – Per{\'{i}}odo de An{\'{a}}lise: 2012 a 2014}},
url = {https://d3nehc6yl9qzo4.cloudfront.net/downloads/publicacao_bap_relatorio_2012_2014_web.pdf},
year = {2015}
}
