Methodology of Updating Touristic Map Using Open Source and Open Spatial Data (OSOD). A Case Study of Ben Arous City, Tunisia.

2019 ◽  
pp. 133-147
Author(s):  
Abdelkader Moussi ◽  
Noamen Rebai
Keyword(s):  
Open Source ◽  
Spatial Data

scholarly journals Embracing the Open-Source Movement for Managing Spatial Data: A Case Study of African Trypanosomiasis in Kenya

2011 ◽  
Vol 7 (1) ◽  
pp. 87-113 ◽  
Author(s):  
Shaun A. Langley ◽  
Joseph P. Messina
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
African Trypanosomiasis

scholarly journals GEOPORTAL FOR SEARCHING AND VISUALIZATION OF CADASTRAL DATA

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Mladen Đurić
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Web Application ◽  
Service Oriented Architecture ◽  
Application Development ◽  
Data Infrastructure ◽  
Service Oriented ◽  
Web Application Development ◽  
Republika Srpska

Geoportal is an indispensable part of the national spatial data infrastructure and a central point of access to spatial data. The paper presents the development of a geoportal based on the principles of service-oriented architecture. Open source frameworks and libraries were used to create geoportal. The aim of the paper is to present a partially different approach to the development of geoportals, based on the modern principles of web application development. The case study was conducted for the cadastral municipality of Brod, the municipality of Brod, Republika Srpska, Bosnia and Herzegovina.

An open source solution to a common collection problem: the Africa image and map portal

2019 ◽  
Vol 36 (4) ◽  
pp. 7-9
Author(s):  
Mia Partlow ◽  
Theresa Quill ◽  
Mireille Djenno
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
Design Methodology ◽  
Academic Library ◽  
African Studies ◽  
Content Type ◽  
Software Licensing ◽  
Index Maps

Purpose The purpose of this paper is to provide an overview of the Africa image and map portal (AIMP) project’s origins and development, along with its applications to date. This paper includes methods and a step-by-step appendix so that the project can be reproduced at other institutions. Design/methodology/approach AIMP was created with a suite of free and open source software, including QGIS, Mapbox.js and GitHub. Built around the concept of an interactive index map, AIMP allows for geographic searching of maps, posters and images from Indiana University’s (IU) African Studies collections. This paper presents a case study for the use of this geographic discovery tool at an academic library. Findings AIMP has allowed comparison of collection strengths with research interests of IU African Studies affiliates and to make strategic collection development decisions that will best serve the authors’ patrons. The instruction applications of AIMP are also full of potential. To date, the Librarian for African Studies has used the portal to familiarize faculty, as well as undergraduate and graduate students, with the range of image and map resources available to them, in a variety of settings. Social implications AIMP allows researchers around the world to discover materials through a geographic search, dramatically connecting and increasing access to and discoverability of these important collections. The use of free and open source geospatial software (foss4g) means that the interface does not rely on an institution’s proprietary software-licensing agreements, making it replicable for other institutions. This use of foss4g widens access to maps, spatial data, images and posters of Africa held by IUL to a global audience. Originality/value While interactive index maps are popular among map libraries, AIMP uniquely acts as a discovery portal for a variety of media, including images and posters. In this way, AIMP works to overcome institutional silos and increase discoverability of these important collections to a global audience.

A Case Study on the Development of Life Insurance Prediction Model Analysis Environment Applying Open-Source Bigdata Technology

2018 ◽  
Vol 32 (1) ◽  
pp. 173-207
Author(s):  
Sung Hyun Kim ◽  
◽  
Jiwon Chun ◽  
Miyoung Lee
Keyword(s):  
Prediction Model ◽  
Open Source ◽  
Life Insurance ◽  
Model Analysis ◽  
Analysis Environment

Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

2019 ◽  
Vol 13 ◽  
Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono
Keyword(s):  
Response Time ◽  
Open Source ◽  
Poisson Distribution ◽  
Mobile Application ◽  
Web Applications ◽  
Performance Comparison ◽  
Memory Usage ◽  
Data Traffic ◽  
Cpu Utilization

: 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.

scholarly journals Vehicle Energy Consumption in Python (VencoPy): Presenting and Demonstrating an Open-Source Tool to Calculate Electric Vehicle Charging Flexibility

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4349
Author(s):  
Niklas Wulff ◽  
Fabia Miorelli ◽  
Hans Christian Gils ◽  
Patrick Jochem
Keyword(s):  
Open Source ◽  
Electric Vehicle ◽  
Full Range ◽  
Mobility Patterns ◽  
Electric Vehicle Charging ◽  
Survey Results ◽  
Vehicle Demand ◽  
Vehicle Fleet ◽  
Electric Loads

As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorporate their respective demand and potential flexibility. Recently, a small number of tools for electric vehicle demand and flexibility modeling have been released under open source licenses. These usually sample discrete trips based on aggregate mobility statistics. However, the full range of variables of travel surveys cannot be accessed in this way and sub-national mobility patterns cannot be modeled. Therefore, a tool is proposed to estimate future electric vehicle fleet charging flexibility while being able to directly access detailed survey results. The framework is applied in a case study involving two recent German national travel surveys (from the years 2008 and 2017) to exemplify the implications of different mobility patterns of motorized individual vehicles on load shifting potential of electric vehicle fleets. The results show that different mobility patterns, have a significant impact on the resulting load flexibilites. Most obviously, an increased daily mileage results in higher electricty demand. A reduced number of trips per day, on the other hand, leads to correspondingly higher grid connectivity of the vehicle fleet. VencoPy is an open source, well-documented and maintained tool, capable of assessing electric vehicle fleet scenarios based on national travel surveys. To scrutinize the tool, a validation of the simulated charging by empirically observed electric vehicle fleet charging is advised.

PVDP: A portable open source pipeline for detection of plant viruses in RNAseq data. A case study on potato viruses in Antioquia (Colombia)

2021 ◽  
Vol 113 ◽  
pp. 101604
Author(s):  
Pablo Gutiérrez ◽  
Ary Rivillas ◽  
Daniel Tejada ◽  
Susana Giraldo ◽  
Andrea Restrepo ◽  
...  
Keyword(s):  
Open Source ◽  
Plant Viruses ◽  
Potato Viruses ◽  
Rnaseq Data

Application of PCA with georeferenced data in the tourism industry: A case study in the province of Córdoba, Argentina

2021 ◽  
pp. 135481662098768
Author(s):  
Laura I Luna
Keyword(s):  
Decision Making ◽  
Principal Components ◽  
Spatial Data ◽  
Local Development ◽  
Value Added ◽  
Tourism Industry ◽  
Methodological Innovation ◽  
Spatial Principal Components ◽  
Components Analysis

The spatial analysis of tourism industries provides information about their structure, which is necessary for decision-making. In this work, tourism industries in the departments of Córdoba province, Argentina, for the 2001–2014 period were mapped. Multivariate methods with and without spatial restrictions (spatial principal components (sPCs) analysis, MULTISPATI-PCA, and principal components analysis (PCA), respectively) were applied and their performance was compared. MULTISPATI-PCA yielded a higher degree of spatial structuring of the components that summarize tourism activities than PCA. The methodological innovation lies in the generation of statistics for multidimensional spatial data. The departments were classified according to the participation of tourism activities in the value added of tourism using the sPCs obtained as input of the cluster fuzzy k-means analysis. This information provides elements necessary for appropriately defining local development strategies and, therefore, is useful to improve decision-making.

Open Source Remote Triggered Laboratory for Web based Manufacturing-A Case Study of 2D Plotter

2020 ◽  
Author(s):  
A Suhas ◽  
Manjunath Chabbi ◽  
K V Gangadharan ◽  
Pruthviraj Umesh
Keyword(s):  
Open Source ◽  
Web Based
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