scholarly journals Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero

2020 ◽  
Author(s):  
Michele Tobias ◽  
Alex Mandel
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Location Information ◽  
Online Database ◽  
Web Mapping ◽  
Web Map ◽  
Public Sharing ◽  
Academic Publications ◽  
Spatial Coordinates ◽  
Study Sites

Here we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to add location information to a Zotero library, a free and open source bibliography manager. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. By using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. We evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature by mapping the study sites described in academic publications related to California’s coastal strand vegetation. The results of this exercise are presented in static and web map form.

scholarly journals Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero

2021 ◽  
Vol 14 ◽  
pp. 117862212110092
Author(s):  
Michele M Tobias ◽  
Alex I Mandel
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Future Research ◽  
Web Mapping ◽  
Web Map ◽  
Public Sharing ◽  
Academic Publications ◽  
Spatial Coordinates ◽  
Study Sites ◽  
Soil And Water

Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper

scholarly journals Designing the Cyberinfrastructure for Spatial Data Curation, Visualization, and Sharing

10.29173/iq11 ◽  
2017 ◽  
Vol 41 (1-4) ◽  
pp. 15 ◽  
Author(s):  
Yue Li ◽  
Nicole Kong ◽  
Stanislav Pejša
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Data Curation ◽  
Data Repository ◽  
Health Humanities ◽  
Web Mapping ◽  
Web Map ◽  
Institutional Data ◽  
The Impact ◽  
The Web

Widely used across disciplines such as natural resources, social sciences, public health, humanities, and economics, spatial data is an important component in many studies and has promoted interdisciplinary research development. Though an institutional data repository provides a great solution for data curation, preservation, and sharing, it usually lacks the spatial visualization capability, which limits the use of spatial data to professionals. To increase the impact of research-generated spatial data and truly turn them into digital maps for a broader user base, we have designed and developed the workflow and cyberinfrastructure to extend the current capability of our institutional data repository by visualizing the spatial data on the web. In this project, we added a GIS server to the original institutional data repository cyberinfrastructure, which enables web map services. Then, through a web mapping API, we visualized the spatial data as an interactive web map and embedded in the data repository web page. From the user’s perspective, researchers can still identify, cite and reuse the dataset by downloading the data and metadata and the DOI offered by the data repository. General information users can also browse the web maps to find location-based information. In addition, these data was ingested into the spatial data portal to increase the discoverability for spatial information users. Initial usage statistics suggest that this cyberinfrastructure has greatly improved the spatial data usage and extended the institutional data repository to facilitate spatial data sharing.

PlotGoogleMaps: The R-Based Web-Mapping Tool for Thematic Spatial Data

GEOMATICA ◽  
2012 ◽  
Vol 66 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Milan Kilibarda ◽  
Branislav Bajat
Keyword(s):  
Spatial Data ◽  
R Package ◽  
Third Party ◽  
Web Browsers ◽  
Google Maps ◽  
Web Mapping ◽  
Web Map ◽  
Mapping Tool ◽  
Present Solution ◽  
Regular Medium

Google Maps are increasingly used for communication throughout many map-based services and maps, embedded on third-party websites via the Google Maps API. The main objective of this paper is to present a solution for an easy creation of an interactive web map, with a base map supplied by Google, where all map elements and additional functionalities are handled by just one line of code. The present solution for the automatic creation of a complete web map, based on the Google Maps API, is the R package plotGoogleMaps. This tool provides a new interactive plot device for handling the geographic data for web browsers. It also offers a complete map in the HTML format, which has become a regular medium for cartographic communication. The tool plotGoogleMaps is developed in the R software language and it is designed for the automatic creation of web maps, as a combination of users’ data and Google Maps layers.

scholarly journals Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina’s Life Quality Index

2020 ◽  
Vol 9 (10) ◽  
pp. 563
Author(s):  
Alejandro Zunino ◽  
Guillermo Velázquez ◽  
Juan Pablo Celemín ◽  
Cristian Mateos ◽  
Matías Hirsch ◽  
...  
Keyword(s):  
Life Quality ◽  
Web Technologies ◽  
Web Mapping ◽  
Network Bandwidth ◽  
Web Map ◽  
Raster Maps ◽  
Dynamic Web ◽  
Network Usage ◽  
Overall Performance

Recent Web technologies such as HTML5, JavaScript, and WebGL have enabled powerful and highly dynamic Web mapping applications executing on standard Web browsers. Despite the complexity for developing such applications has been greatly reduced by Web mapping libraries, developers face many choices to achieve optimal performance and network usage. This scenario is even more complex when considering different representations of geographical data (raster, raw data or vector) and variety of devices (tablets, smartphones, and personal computers). This paper compares the performance and network usage of three popular JavaScript Web mapping libraries for implementing a Web map using different representations for geodata, and executing on different devices. In the experiments, Mapbox GL JS achieved the best overall performance on mid and high end devices for displaying raster or vector maps, while OpenLayers was the best for raster maps on all devices. Vector-based maps are a safe bet for new Web maps, since performance is on par with raster maps on mid-end smartphones, with significant less network bandwidth requirements.

scholarly journals An Approach to Generate Spatial Voronoi Treemaps for Points, Lines, and Polygons

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Song Tian ◽  
Ximin Cui ◽  
Yu Gong
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Data Model ◽  
Space Filling ◽  
Distance Transformation ◽  
Voronoi Polygons ◽  
Spatial Coordinates ◽  
Filling Method ◽  
Spatial Data Model

As a space-filling method, Voronoi Treemaps are used for showcasing hierarchies. Previously presented algorithms are limited to visualize nonspatial data. The approach of spatial Voronoi Treemaps is proposed in this paper to eliminate these problems by enabling the subdivisions for points, lines, and polygons with spatial coordinates and references. The digital distance transformation is recursively used to generate nested raster Voronoi polygons while the raster to vector conversion is used to create a vector-based Treemap visualization in a GIS (geographic information system) environment. The objective is to establish a spatial data model to better visualize and understand the hierarchies in the geographic field.

scholarly journals CREATION OF THE WEB-MAP OF THE BOGUSLAVSKY DISTRICT

2019 ◽  
pp. 129-139
Author(s):  
Tamara Mykolayivna Kurach ◽  
Iryna Aleksandrovna Pidlisetskaya
Keyword(s):  
Cultural Heritage ◽  
Theoretical Basis ◽  
Large Scale ◽  
Web Mapping ◽  
Heritage Sites ◽  
Web Map ◽  
Thematic Mapping ◽  
Interactive Map ◽  
The Web

The goal is to develop a tourist interactive map "Landmarks of Bohuslav". The methodology. The methodological and theoretical basis of the study is modern geographical and cartographic science in the field of thematic mapping with the involvement of web-mapping technologies. Results. A large-scale tourist web map of the cultural heritage of the Boguslavsky region - “Sights of Boguslavshchina” was created. Scientific novelty. Approbation of the methodology and technology for the development of interactive large-scale web maps of tourism topics involving the Leaflet JavaScript library. Practical value. An interactive tourist web map of the historical and cultural heritage sites “Sights of Bohuslavshchina” will be published on the website of the health-improving institution of sanatorium-type “Chaika”. Convenient using, visualization, prompt receipt of information will help to increase the attractiveness of tourist Boguslavschina routes.

scholarly journals R-Tree for phase change memory

2017 ◽  
Vol 14 (2) ◽  
pp. 347-367 ◽  
Author(s):  
Elkhan Jabarov ◽  
Byung-Won On ◽  
Gyu Choi ◽  
Myong-Soon Park
Keyword(s):  
Phase Change ◽  
Spatial Data ◽  
Processing Time ◽  
Fill Factor ◽  
Phase Change Memory ◽  
Experimental Results ◽  
Location Information ◽  
Node Size ◽  
Blank Node ◽  
Change Memory

Nowadays, many applications use spatial data for instance-location information, so storing spatial data is important.We suggest using R -Tree over PCM. Our objective is to design a PCM-sensitive R -Tree that can store spatial data as well as improve the endurance problem. Initially, we examine how R -Tree causes endurance problems in PCM, and we then optimize it for PCM. We propose doubling the leaf node size, writing a split node to a blank node, updating parent nodes only once and not merging the nodes after deletion when the minimum fill factor requirement does not meet. Based on our experimental results while using benchmark dataset, the number of write operations to PCM in average decreased by 56 times by using the proposed R -Tree. Moreover, the proposed R -Tree scheme improves the performance in terms of processing time in average 23% compared to R -Tree.

scholarly journals Rethinking the usage and experience of clustering markers in web mapping

2019 ◽  
Author(s):  
Loïc Fürhoff
Keyword(s):  
Two Dimensions ◽  
Performance Bottlenecks ◽  
Client Server ◽  
Web Mapping ◽  
Web Map ◽  
Perceived Performance ◽  
Reduction Methods ◽  
Clustering Aggregation ◽  
Clutter Reduction ◽  
Real Challenge

Although the notion of ‘too many markers’ have been mentioned in several research, in practice, displaying hundreds of Points of Interests (POI) on a web map in two dimensions with an acceptable usability remains a real challenge. Web practitioners often make an excessive use of clustering aggregation to overcome performance bottlenecks without successfully resolving issues of perceived performance. This paper tries to bring a broad awareness by identifying sample issues which describe a general reality of clustering, and provide a pragmatic survey of potential technologies optimisations. At the end, we discuss the usage of technologies and the lack of documented client-server workflows, along with the need to enlarge our vision of the various clutter reduction methods.

scholarly journals TESTING THE POSITIONAL ACCURACY OF OPENSTREETMAP DATA FOR MAPPING APPLICATIONS

2016 ◽  
Vol 42 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Khalid l. A. El-Ashmawy
Keyword(s):  
Local Area ◽  
Transportation Systems ◽  
Comparative Approach ◽  
Construction Sites ◽  
Positional Accuracy ◽  
Web Mapping ◽  
Web Map ◽  
Land Surveying ◽  
Preliminary Planning

OpenStreetMap, a web mapping platform, is the most popular web map source for use in locationbased services with specific emphasis on pedestrian navigation, tourist guide applications, and other location-based search applications. This paper tests the positional accuracy of OpenStreetMap for the mapping applications using the case study in the campus of UMM El-Qura University, Makah, Saudi Arabia. The proposed testing method consists of statistical comparative approach using OpenStreetMap data and accurate land surveying reference data. The results show that OpenStreetMap data has positional accuracy of 1.57 m which is suitable for generating planimetric maps of scale 1:5000 or smaller. The obtained results open the door for using the OpenStreetMap maps for applications such as general preliminary planning where larger areas are covered but only moderate accuracy is needed. Applications include mapping the general layout of potential construction sites, proposed transportation systems, and existing facilities. The proposed methodology in this paper is of great interest to small engineering firms for the generation of local area maps from OpenStreetMap data.

scholarly journals Performance Testing of Web Map Services tn three Dimensions – X, Y, Scale

2013 ◽  
Vol 21 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Dušan Cibulka
Keyword(s):  
Performance Testing ◽  
Service Performance ◽  
Performance Characteristics ◽  
Three Dimensions ◽  
Web Mapping ◽  
Practical Experiment ◽  
Web Map ◽  
Open Geospatial Consortium ◽  
Map Service ◽  
The Web

Abstract The paper deals with the performance testing of web mapping services. The paper describes map service tests in which it is possible to determine the performance characteristics of a map service, depending on the location and scale of the map. The implementation of the test is tailored to the Web Map Service specifications provided by the Open Geospatial Consortium. The practical experiment consists of testing the map composition acquired from OpenStreetMap data for the area of southwestern Slovakia. These tests permit checking the performance of services in different positions, verifying the configuration of services, the composition of a map, and the visualization of geodata. The task of this paper is to also highlight the fact that it is not sufficient to only interpret a map service performance with conventional indicators. A map service’s performance should be linked to information about the map’s scale and location.

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