Tangible Modeling with Open Source GIS

2018 ◽  
Author(s):  
Anna Petrasova ◽  
Brendan Harmon ◽  
Vaclav Petras ◽  
Payam Tabrizian ◽  
Helena Mitasova
Keyword(s):  
Open Source ◽  
Open Source Gis

PolyMorph-2D: An open-source GIS plug-in for morphometric analysis of vector-based 2D polygon features

Geomorphology ◽  
2021 ◽  
Vol 386 ◽  
pp. 107755
Author(s):  
Cüneyt Güler ◽  
Burak Beyhan ◽  
Hidayet Tağa
Keyword(s):  
Open Source ◽  
Morphometric Analysis ◽  
Open Source Gis

Assessment of open source GIS software for water resources management in developing countries

2010 ◽  
Vol 4 (3) ◽  
pp. 253-264 ◽  
Author(s):  
Daoyi Chen ◽  
Shahriar Shams ◽  
César Carmona-Moreno ◽  
Andrea Leone
Keyword(s):  
Developing Countries ◽  
Water Resources ◽  
Open Source ◽  
Water Resources Management ◽  
Resources Management ◽  
Open Source Gis ◽  
Gis Software

scholarly journals A Comparison of Precise Fertilization Prescription Rates to a Conventional Approach Based on the Open Source GIS Software

Poljoprivreda ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 52-59
Author(s):  
Mladen Jurišić ◽  
◽  
Dorijan Radočaj ◽  
Ivan Plaščak ◽  
Irena Rapčan
Keyword(s):  
Open Source ◽  
Precision Agriculture ◽  
Spatial Interpolation ◽  
Crop Yields ◽  
Conventional Approach ◽  
Optimal Interpolation ◽  
Phosphorous Pentoxide ◽  
Open Source Gis ◽  
Prescription Rates ◽  
Gis Software

Fertilization is one of the most important components of precision agriculture, ensuring high and stable crop yields. The process of spatial interpolation of soil sample data is recognized as a reliable method of determining the prescription rates for precise fertilization. However, the application of a free open-source geographic information system (GIS) software was often overlooked in the process. In this study, a method of precise fertilization prescription map creation was developed using an open-source GIS software to enable a wider and cheaper availability of its application. The study area covered three independent locations in Osijek-Baranja County. A method was developed for the fertilization of sugar beet with phosphorous pentoxide, but its application is universal with regard to the crop type. An ordinary kriging was determined as an optimal interpolation method for spatial interpolation, with the mean RMSE of 1.8754 and R2of 0.6955. By comparing the precision fertilization prescription rates to a conventional approach, the differences of 4.1 kg ha-1 for Location 1, 15.8 kg ha-1 for Location 2, and 11.2 kg ha-1 for Location 3 were observed. These values indicate a general deficit in soil phosphorous pentoxide, and precise fertilization could ensure its optimal content in the future sowing seasons.

scholarly journals GISEIEL: AN OPEN SOURCE GIS FOR TERRITORIAL MANAGEMENT

2009 ◽  
Author(s):  
Pedro A. González ◽  
Miguel Lorenzo ◽  
Miguel R. Luaces ◽  
David Trillo ◽  
José Ignacio Lamas Fonte
Keyword(s):  
Open Source ◽  
Territorial Management ◽  
Open Source Gis

scholarly journals Simple rules for an efficient use of Geographic Information Systems in molecular ecology

2017 ◽  
Author(s):  
Kevin Leempoel ◽  
Solange Duruz ◽  
Estelle Rochat ◽  
Ivo Widmer ◽  
Pablo Orozco-terWengel ◽  
...  
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Open Source ◽  
Spatial Data ◽  
Molecular Ecology ◽  
Relevant Information ◽  
Geographic Information ◽  
Environmental Data ◽  
Essential Information ◽  
Open Source Gis

AbstractGeographic Information Systems (GIS) are becoming increasingly popular in the context of molecular ecology and conservation biology thanks to their display options efficiency, flexibility and management of geodata. Indeed, spatial data for wildlife and livestock species is becoming a trend with many researchers publishing genomic data that is specifically suitable for landscape studies. GIS uniquely reveal the possibility to overlay genetic information with environmental data and, as such, allow us to locate and analyze genetic boundaries of various plant and animal species or to study gene-environment associations (GEA). This means that, using GIS, we can potentially identify the genetic bases of species adaptation to particular geographic conditions or to climate change. However, many biologists are not familiar with the use of GIS and underlying concepts and thus experience difficulties in finding relevant information and instructions on how to use them. In this paper, we illustrate the power of free and open source GIS approaches and provide essential information for their successful application in molecular ecology. First, we introduce key concepts related to GIS than are too often overlooked in the literature, for example coordinate systems, GPS accuracy and scale. We then provide an overview of the most employed open-source GIS-related software, file formats and refer to major environmental databases. We also reconsider sampling strategies as high costs of Next Generation Sequencing (NGS) data currently diminish the number of samples that can be sequenced per location. Thereafter, we detail methods of data exploration and spatial statistics suited for the analysis of large genetic datasets. Finally, we provide suggestions to properly edit maps and to make them as comprehensive as possible, either manually or trough programming languages.

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