An open source implementation of the Modern Analog Technique (MAT) within the R computing environment

2006 ◽  
Vol 32 (6) ◽  
pp. 818-833 ◽  
Author(s):  
Michael Sawada
Keyword(s):  
Open Source ◽  
Computing Environment ◽  
Modern Analog Technique

scholarly journals Shifting from closed-source graphical-interface to open-source programming environment: a brief tutorial on running Maxent in R

2017 ◽  
Author(s):  
Xiao Feng ◽  
Fikirte Gebresenbet ◽  
Cassondra Walker
Keyword(s):  
Open Source ◽  
Ecological Niche Modeling ◽  
Programming Environment ◽  
Graphical Interface ◽  
Limited Information ◽  
Computing Environment ◽  
New Methods ◽  
Software Algorithms ◽  
The Relationship ◽  
Closed Source

Ecological niche modeling (ENM) is increasingly being used in studying the relationship between species distributions and environmental conditions. The development of ENM software/algorithms is heading toward open-source programming, for the advantage of efficiency in handling big data and incorporating new methods. Maxent is one of the commonly used ENM algorithms, but there has been limited information and efforts in implementing Maxent in an open-source programming environment (e.g., R). Therefore, we aim to fill the gap of knowledge for using Maxent in R. More specifically, we demonstrate the general implementation of Maxent in R based on a commonly used ENM procedure, provide a function that bridges the Maxent algorithm and R computing environment for easier use, and demonstrate the manipulation of a few crucial Maxent parameters in R. We expect our efforts will promote a shift of the Maxent user community from a graphical-interface to open-source programming.

TCloud

2018 ◽  
pp. 116-144 ◽  
Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Decision Maker ◽  
Spatial Data ◽  
Spatial Information ◽  
Overlay Analysis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Open Source Gis ◽  
The Temple

This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.

TCloud

2019 ◽  
pp. 935-958
Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Decision Maker ◽  
Spatial Data ◽  
Spatial Information ◽  
Overlay Analysis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Open Source Gis ◽  
The Temple

This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.

scholarly journals Shifting from closed-source graphical-interface to open-source programming environment: a brief tutorial on running Maxent in R

2017 ◽  
Author(s):  
Xiao Feng ◽  
Fikirte Gebresenbet ◽  
Cassondra Walker
Keyword(s):  
Open Source ◽  
Ecological Niche Modeling ◽  
Programming Environment ◽  
Graphical Interface ◽  
Limited Information ◽  
Computing Environment ◽  
New Methods ◽  
Software Algorithms ◽  
The Relationship ◽  
Closed Source

Ecological niche modeling (ENM) is increasingly being used in studying the relationship between species distributions and environmental conditions. The development of ENM software/algorithms is heading toward open-source programming, for the advantage of efficiency in handling big data and incorporating new methods. Maxent is one of the commonly used ENM algorithms, but there has been limited information and efforts in implementing Maxent in an open-source programming environment (e.g., R). Therefore, we aim to fill the gap of knowledge for using Maxent in R. More specifically, we demonstrate the general implementation of Maxent in R based on a commonly used ENM procedure, provide a function that bridges the Maxent algorithm and R computing environment for easier use, and demonstrate the manipulation of a few crucial Maxent parameters in R. We expect our efforts will promote a shift of the Maxent user community from a graphical-interface to open-source programming.

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source
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