Geographic visualization: designing manipulable maps for exploring temporally varying georeferenced statistics

2002 ◽  
Author(s):  
A.M. MacEachren ◽  
F.P. Boscoe ◽  
D. Haug ◽  
L.W. Pickle
Keyword(s):  
Geographic Visualization

3D Geographic Visualization: The Marine GIS

2006 ◽  
pp. 17-28 ◽  
Author(s):  
Chris Gold ◽  
Michael Chau ◽  
Marcin Dzieszko ◽  
Rafel Goralski
Keyword(s):  
Geographic Visualization

scholarly journals StudyPortal – Geovisualization of Study Research Networks

2019 ◽  
Vol 44 (1) ◽  
Author(s):  
Julian Varghese ◽  
Michael Fujarski ◽  
Martin Dugas
Keyword(s):  
The Novel ◽  
Geographic Proximity ◽  
Research Networks ◽  
Geographic Visualization ◽  
Unified Medical Language System ◽  
Link Type ◽  
Medical Language ◽  
Medical Terms ◽  
Future Work ◽  
Semantic Layer

AbstractStudyPortal was implemented as the first multilingual search platform for geographic visualization of clinical trials and scientific articles. The platform queries information from ClinicalTrials.gov, PubMed, a geodatabase and geographic maps to enable geospatial study search and real-time rendering of study locations or research networks on a map. Thus, disease-specific clinical studies or whole research networks can be shown in a geographic proximity. Moreover, a semantic layer enables multilingual disease input and autosuggestion of medical terms based on the Unified Medical Language System. The portal is accessible on https://studyportal.uni-muenster.de. This paper presents details on implementation of the novel search platform, its search evaluation and future work.

scholarly journals LDpop: an interactive online tool to calculate and visualize geographic LD patterns

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
T. A. Alexander ◽  
M. J. Machiela
Keyword(s):  
Linkage Disequilibrium ◽  
Allele Frequencies ◽  
Web Tool ◽  
Summary Table ◽  
Geographic Visualization ◽  
Online Tool ◽  
Interactive Maps ◽  
1000 Genomes ◽  
Geographic Populations ◽  
Cross Platform

Abstract Background Linkage disequilibrium (LD)—the non-random association of alleles at different loci—defines population-specific haplotypes which vary by genomic ancestry. Assessment of allelic frequencies and LD patterns from a variety of ancestral populations enables researchers to better understand population histories as well as improve genetic understanding of diseases in which risk varies by ethnicity. Results We created an interactive web module which allows for quick geographic visualization of linkage disequilibrium (LD) patterns between two user-specified germline variants across geographic populations included in the 1000 Genomes Project. Interactive maps and a downloadable, sortable summary table allow researchers to easily compute and compare allele frequencies and LD statistics of dbSNP catalogued variants. The geographic mapping of each SNP’s allele frequencies by population as well as visualization of LD statistics allows the user to easily trace geographic allelic correlation patterns and examine population-specific differences. Conclusions LDpop is a free and publicly available cross-platform web tool which can be accessed online at https://ldlink.nci.nih.gov/?tab=ldpop

scholarly journals HazMatMapper: an online and interactive geographic visualization tool for exploring transnational flows of hazardous waste and environmental justice

2017 ◽  
Author(s):  
Eric Nost
Keyword(s):  
North America ◽  
Environmental Justice ◽  
Hazardous Waste ◽  
Environmental Protection Agency ◽  
The United States ◽  
Visual Exploration ◽  
Freedom Of Information ◽  
Visualization Tool ◽  
Geographic Visualization ◽  
Regional Clustering

Authors: Eric Nost, Heather Rosenfeld, Kristen Vincent, Sarah A. Moore & Robert E. RothHazMatMapper is an online and interactive geographic visualization tool designed to facilitate exploration of transnational flows of hazardous waste in North America (http://geography.wisc. edu/hazardouswaste/map/). While conventional narratives suggest that wealthier countries such as Canada and the United States (US) export waste to poorer countries like Mexico, little is known about how waste trading may affect specific sites within any of the three countries. To move beyond anecdotal discussions and national aggregates, we assembled a novel geographic dataset describing transnational hazardous waste shipments from 2007 to 2012 through two Freedom of Information Act requests for documents held by the US Environmental Protection Agency. While not yet detailing all of the transnational hazardous waste trade in North America, HazMatMapper supports multiscale and site-specific visual exploration of US imports of hazardous waste from Canada and Mexico. It thus enables academic researchers, waste regulators, and the general public to generate hypotheses on regional clustering, transnational corporate structuring, and environmental justice concerns, as well as to understand the limitations of existing regulatory data collection itself. Here, we discuss the dataset and design process behind HazMatMapper and demonstrate its utility for understanding the transnational hazardous waste trade.Printed at Journal of Maps: http://www.tandfonline.com/doi/abs/10.1080/17445647.2017.1282384Project here: https://geography.wisc.edu/hazardouswaste/map/

scholarly journals rassta: Raster-based Spatial Stratification Algorithms

2021 ◽  
Author(s):  
Bryan Fuentes ◽  
Minerva Dorantes ◽  
John Tipton
Keyword(s):  
Spatial Variability ◽  
Domain Knowledge ◽  
Theoretical Background ◽  
Data Driven ◽  
Geographic Visualization ◽  
Geographic Space ◽  
Landscape Processes ◽  
Efficient Sampling ◽  
Data Driven Modeling ◽  
Spatial Stratification

Spatial stratification of landscapes allows for the development of efficient sampling surveys,the inclusion of domain knowledge in data-driven modeling frameworks, and the production of information relating the spatial variability of response phenomena to that of landscape processes. This work presents the rassta package as a collection of algorithms dedicated to the spatial stratification of landscapes, the calculation of landscape correspondence metrics across geographic space, and the application of these metrics for spatial sampling and modeling of environmental phenomena. The theoretical background of rassta is presented through references to several studies which have benefited from landscape stratification routines. The functionality of rassta is presented through code examples which are complemented with the geographic visualization of their outputs.

Sign in / Sign up

Export Citation Format

Share Document