scholarly journals Using Open-Source Data and Software to Analyse Land-Use Changes and Deforestation in Marqués de Comillas, Chiapa, Mexico (Work in Progress)

GI_Forum ◽  
2021 ◽  
Vol 1 ◽  
pp. 150-157
Author(s):  
Iskar Jasmani Waluyo Moreno ◽  
José García Hernández ◽  
Agustín Bolóm Gómez ◽  
Julio Cesar García Sampayo
2020 ◽  
Vol 247 ◽  
pp. 111838 ◽  
Author(s):  
Yanfei Zhong ◽  
Yu Su ◽  
Siqi Wu ◽  
Zhendong Zheng ◽  
Ji Zhao ◽  
...  

Author(s):  
T. T. Vu ◽  
N. V. A. Vu ◽  
H. P. Phung ◽  
L. D. Nguyen

Author(s):  
Shaojuan Xu ◽  
Nina Manzke ◽  
Norbert de Lange ◽  
Jan Zülsdorf ◽  
Martin Kada ◽  
...  

The optimization of urban land use is a very important aspect of sustainable urban development, including recycling abandoned land and further developing in-use areas. However, limited knowledge of these kinds of areas and their properties have been restricting end-users from exploring and reusing them. URBIS (URBan land recycling Information services for Sustainable cities) is a European project aimed at identifying urban areas which have potential to be further developed, as well as to extract their land use information based on open spatial data. URBIS first selected and stored possible sites as polygons in a Green or Grey Layer. In a second step, the information about the sites like size, vegetation coverage, and transportation connections are also calculated and attached as attributes to the polygons. At the end, the project results are presented through online services giving end-users the possibility to not only view all these areas but also select their own areas of interest according to particular attributes. The URBIS strategy has been successfully implemented in three pilot cities already. Since the methodology and the service system developed in the project are based on open source data and open source software, URBIS could easily be expanded to other European cities.


2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.


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