scholarly journals LecoS - A QGIS plugin for automated landscape ecology analysis

Author(s):  
Martin Jung

The quantification of landscape structures is an important part in many ecological analysis dealing with GIS derived satellite data. This paper introduces a new free and open-source tool for conducting landscape ecology analysis. LecoS is able to compute a variety of basic and advanced landscape metrics in an automatized way by iterating through an optional provided vector layer. It is integrated into the QGIS processing framework and can thus be used as a stand-alone tool or within bigger complex models. Finally a potential case-study is demonstrated, which tries to quantify pollinators responses on landscape derived metrics at various scales.

Author(s):  
Martin Jung

The quantification of landscape structures is an important part in many ecological analysis dealing with GIS derived satellite data. This paper introduces a new free and open-source tool for conducting landscape ecology analysis. LecoS is able to compute a variety of basic and advanced landscape metrics in an automatized way by iterating through an optional provided vector layer. It is integrated into the QGIS processing framework and can thus be used as a stand-alone tool or within bigger complex models. Finally a potential case-study is demonstrated, which tries to quantify pollinators responses on landscape derived metrics at various scales.


2013 ◽  
Author(s):  
Martin Jung

The quantification of landscape structures is an important part in many ecological analysis dealing with GIS derived satellite data. This paper introduces a new free and open-source tool for conducting landscape ecology analysis. LecoS is able to compute a variety of basic and advanced landscape metrics in an automatized way by iterating through an optional provided vector layer. It is integrated into the QGIS processing framework and can thus be used as a stand-alone tool or within bigger complex models.


2021 ◽  
Vol 5 (OOPSLA) ◽  
pp. 1-28
Author(s):  
Chandrakana Nandi ◽  
Max Willsey ◽  
Amy Zhu ◽  
Yisu Remy Wang ◽  
Brett Saiki ◽  
...  

Many compilers, synthesizers, and theorem provers rely on rewrite rules to simplify expressions or prove equivalences. Developing rewrite rules can be difficult: rules may be subtly incorrect, profitable rules are easy to miss, and rulesets must be rechecked or extended whenever semantics are tweaked. Large rulesets can also be challenging to apply: redundant rules slow down rule-based search and frustrate debugging. This paper explores how equality saturation, a promising technique that uses e-graphs to apply rewrite rules, can also be used to infer rewrite rules. E-graphs can compactly represent the exponentially large sets of enumerated terms and potential rewrite rules. We show that equality saturation efficiently shrinks both sets, leading to faster synthesis of smaller, more general rulesets. We prototyped these strategies in a tool dubbed Ruler. Compared to a similar tool built on CVC4, Ruler synthesizes 5.8× smaller rulesets 25× faster without compromising on proving power. In an end-to-end case study, we show Ruler-synthesized rules which perform as well as those crafted by domain experts, and addressed a longstanding issue in a popular open source tool.


Annals of GIS ◽  
2016 ◽  
Vol 23 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Vinod Kumar Sharma ◽  
E. Amminedu ◽  
G. Srinivasa Rao ◽  
P. V. Nagamani ◽  
K. Ram Mohan Rao ◽  
...  

Author(s):  
Maximillian H.K. Hesselbarth ◽  
Jakub Nowosad ◽  
Johannes Signer ◽  
Laura J. Graham

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.


Author(s):  
Abdelmoula Abouhilal ◽  
Amine Moulay Taj ◽  
Naîma Tafi ◽  
Abdessamad Malaoui

This paper presents a remote controlled educational system. This system consists of two subsystems: a videoconference subsystem to present the theoretical part of the course and a practical subsystem to show students the manipulations in real time. The videoconferencing part is based on the open-source tool BigBlueButton, while the second part is based on embedded electronics. A detailed description of the merger of the two systems is presented in this work.


Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.


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