scholarly journals Open-source Tools in R for Landscape Ecology

2021 ◽  
Author(s):  
Maximillian H.K. Hesselbarth ◽  
Jakub Nowosad ◽  
Johannes Signer ◽  
Laura J. Graham
Keyword(s):  
Landscape Ecology ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Spatial Data ◽  
Ecological Analysis ◽  
Ecological Processes ◽  
Future Developments ◽  
Complex Interactions ◽  
Surface Metrics

Abstract Purpose of Review Landscape ecology, the study of the complex interactions between landscapes and ecological processes, has hugely benefited from the increase in widely available open-source software in recent years. In particular, the R programming language provides a wealth of community developed tools for landscape ecology. Recent Findings In this paper, we examine existing packages for downloading, processing and visualisation of spatial data, as well as those specifically developed for spatial ecological analysis. Additionally, we outline the results of a survey of R users within the landscape ecology community. Summary We found that landscape ecologists are generally satisfied with the functionality available within R, and that as a community they are continually further developing the functionality available. Suggested future developments include improvement of computation performance; additional methods for landscape characterisation such as surface metrics; and advanced, accessible visualisation tools.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

Building Repository Banking and Finance (ReBaF)

2013 ◽  
pp. 234-241
Author(s):  
Munawaroh
Keyword(s):  
Information System ◽  
Open Source ◽  
Programming Language ◽  
Digital Library ◽  
Open Source Software ◽  
Financial Data ◽  
Library Services ◽  
Banking And Finance ◽  
Sql Database ◽  
Digital Library Services

Repository Banking and Finance (ReBaf) is one of the digital library services developed by STIE Perbanas Surabaya in an effort to extend the collection of banking and financial data organized by the Library of STIE Perbanas Surabaya. The ReBaf SISFO (information system) applies open-source software basis with PHP SQL programming language and Postgre SQL database.

scholarly journals Remaining gaps in open source software for Big Spatial Data

2018 ◽  
Author(s):  
Luís Moreira de Sousa
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
Daily Basis ◽  
Earth Observation ◽  
Data Sets ◽  
Equal Area ◽  
Cartesian System ◽  
Gis Software ◽  
Good Number

The volume and coverage of spatial data has increased dramatically in recent years, with Earth observation programmes producing dozens of GB of data on a daily basis. The term Big Spatial Data is now applied to data sets that impose real challenges to researchers and practitioners alike. The difficulties are partly related to a lack of tools supporting appropriate Coordinate Reference Systems (CRS). As rule, these data are provided in highly irregular geodesic grids, defined along equal intervals of latitude and longitude. Compounding the problem, users of such data end up taking geodesic coordinates in these grids as a Cartesian system, implicitly applying Marinus of Tyre's projection. A first approach towards the compactness of global geo-spatial data is to work in a Cartesian system produced by an equal-area projection. There are a good number to choose from, but those commonly supported by GIS software invariably relate to the sinusoidal or pseudo-cylindrical families, that impose important distortions of shape and distance. The land masses of Antarctica, Alaska, Canada, Greenland and Russia are particularly distorted with such projections. A more effective approach is to store and work with data in modern cartographic projections, in particular those defined with the Platonic and Archimedean solids. In spite of various attempts at open source software supporting these projections, in practice they remain today largely out of reach to GIS practitioners. This communication reviews persisting difficulties in working with worldwide big spatial data, current strategies to address such difficulties, the compromises they impose and the remaining gaps in open source software.

What Makes Free/Libre Open Source Software (FLOSS) Projects Successful?

2011 ◽  
pp. 87-98 ◽  
Author(s):  
Nicholas P. Radtke ◽  
Marco A. Janssen ◽  
James S. Collofello
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Scenario Analysis ◽  
Web Server ◽  
Agent Based Model ◽  
Agent Based ◽  
Future Developments ◽  
Insight Into

The last few years have seen a rapid increase in the number of Free/Libre Open Source Software (FLOSS) projects. Some of these projects, such as Linux and the Apache web server, have become phenomenally successful. However, for every successful FLOSS project there are dozens of FLOSS projects which never succeed. These projects fail to attract developers and/or consumers and, as a result, never get off the ground. The aim of this research is to better understand why some FLOSS projects flourish while others wither and die. This article presents a simple agent-based model that is calibrated on key patterns of data from SourceForge, the largest online site hosting open source projects. The calibrated model provides insight into the conditions necessary for FLOSS success and might be used for scenario analysis of future developments of FLOSS.

scholarly journals Deployment of NS-3 with Eclipse IDE

2018 ◽  
Author(s):  
José Vega-Sánchez ◽  
Lesly Maygua-Marcillo ◽  
Luis Urquiza-Aguiar ◽  
Pablo Barbecho-Bautista
Keyword(s):  
Communication Network ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Research Community ◽  
Development Environment ◽  
Integrated Development ◽  
Open Environment ◽  
Software Packages ◽  
Network Simulators

Network Simulators is typically used to study services and applications in complex scenarios due to the infeasibility of deploying real testbeds. Many problems can be solved by using network simulators such as NS-3. With this in mind, the aim of this article is to introduce new NS-3 users through detailed information. It is sometimes difficult to handle by new users the traditional manuals developed by NS-3 project official website. In this article, NS-3 for communication network and Eclipse Integrated Development Environment (IDE) for powerful programming language are integrated step-by-step, explaining the main features of these open source software packages and concluding with an example simulation. Our effort is to make it easy for a beginner to be part of the NS-3 research community and to maintain an open environment of knowledge.

scholarly journals Remaining gaps in open source software for Big Spatial Data

2018 ◽  
Author(s):  
Luís Moreira de Sousa
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
Daily Basis ◽  
Earth Observation ◽  
Data Sets ◽  
Equal Area ◽  
Cartesian System ◽  
Gis Software ◽  
Good Number

The volume and coverage of spatial data has increased dramatically in recent years, with Earth observation programmes producing dozens of GB of data on a daily basis. The term Big Spatial Data is now applied to data sets that impose real challenges to researchers and practitioners alike. As rule, these data are provided in highly irregular geodesic grids, defined along equal intervals of latitude and longitude, a vastly inefficient and burdensome topology. Compounding the problem, users of such data end up taking geodesic coordinates in these grids as a Cartesian system, implicitly applying Marinus of Tyre's projection. A first approach towards the compactness of global geo-spatial data is to work in a Cartesian system produced by an equal-area projection. There are a good number to choose from, but those supported by common GIS software invariably relate to the sinusoidal or pseudo-cylindrical families, that impose important distortions of shape and distance. The land masses of Antarctica, Alaska, Canada, Greenland and Russia are particularly distorted with such projections. A more effective approach is to store and work with data in modern cartographic projections, in particular those defined with the Platonic and Archimedean solids. In spite of various attempts at open source software supporting these projections, in practice they remain today largely out of reach to GIS practitioners. This communication reviews persisting difficulties in working with global big spatial data, current strategies to address such difficulties, the compromises they impose and the remaining gaps in open source software.

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