Reviewing qualitative GIS research—Toward a wider usage of open‐source GIS and reproducible research practices

2019 ◽  
Vol 13 (6) ◽  
Author(s):  
Jannes Muenchow ◽  
Susann Schäfer ◽  
Eric Krüger
Keyword(s):  
Open Source ◽  
Reproducible Research ◽  
Research Practices ◽  
Qualitative Gis ◽  
Open Source Gis

Reproducibility in plant pathology: where do we stand and a way forward.

2021 ◽  
Author(s):  
Adam H. Sparks ◽  
Emerson del Ponte ◽  
Kaique S. Alves ◽  
Zachary S. L. Foster ◽  
Niklaus J. Grünwald
Keyword(s):  
Plant Pathology ◽  
Open Source ◽  
Open Science ◽  
Scientific Study ◽  
Reproducible Research ◽  
Research Practices ◽  
Open Research ◽  
Computational Code ◽  
Share Data ◽  
Scientific Results

Abstract Open research practices have been highlighted extensively during the last ten years in many fields of scientific study as essential standards needed to promote transparency and reproducibility of scientific results. Scientific claims can only be evaluated based on how protocols, materials, equipment and methods were described; data were collected and prepared; and, analyses were conducted. Openly sharing protocols, data and computational code is central for current scholarly dissemination and communication, but in many fields, including plant pathology, adoption of these practices has been slow. We randomly selected 300 articles published from 2012 to 2018 across 21 journals representative of the plant pathology discipline and assigned them scores reflecting their openness and reproducibility. We found that most of the articles were not following protocols for open science, and were failing to share data or code in a reproducible way. We also propose that use of open-source tools facilitates reproducible work and analyses benefitting not just readers, but the authors as well. Finally, we also provide ideas and tools to promote open, reproducible research practices among plant pathologists.

scholarly journals Current Protocols: Open and Reproducible Research on OSF

2019 ◽  
Author(s):  
Ian Sullivan ◽  
Alexander Carl DeHaven ◽  
David Thomas Mellor
Keyword(s):  
Data Management ◽  
Open Source ◽  
Scientific Community ◽  
Management Plan ◽  
Version Control ◽  
Reproducible Research ◽  
Research Practices ◽  
Share Data

By implementing more transparent research practices, authors have the opportunity to stand out and showcase work that is more reproducible, easier to build upon, and more credible. The scientist gains by making work easier to share and maintain within their own lab, and the scientific community gains by making underlying data or research materials more available for confirmation or making new discoveries. The following protocol gives the author step by step instructions for using the free and open source OSF to create a data management plan, preregister their study, use version control, share data and other research materials, or post a preprint for quick and easy dissemination.

Qualitative GIS: An Open Framework Using SpatiaLite and Open Source GIS

2015 ◽  
Vol 20 (1) ◽  
pp. 144-159 ◽  
Author(s):  
Ryan Garnett ◽  
Pavlos Kanaroglou
Keyword(s):  
Open Source ◽  
Open Framework ◽  
Qualitative Gis ◽  
Open Source Gis

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
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