20 papers · ranked by Valyu relevance
Sarah Schöttler, Yalong Yang, Hanspeter Pfister, Benjamin Bach
This paper surveys visualization and interaction techniques for geospatial networks from a total of 95 papers. Geospatial networks are graphs where nodes and links can be associated with geographic locations. Examples can include social networks, trade and migration, as well as traffic and transport networks.…
Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo + 1 more
'Loo Keat Wei'] Title: Highlights 1. • GeoBM enhances global research mapping beyond traditional choropleth limits. 2. • Combines publication volume and collaboration for richer geovisualization. 3. • Open-source, Python-based tool with real-time, customizable visual outputs.
Andrea Cuttone, Sune Lehmann, Jakob Eg Larsen
We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in pure python, and provides implementations of dot maps, kernel density estimation, spatial graphs, Voronoi tesselation, shapefiles and many…
Ralf Bill, Jörg Blankenbach, Martin Breunig, Jan-Henrik Haunert + 10 more
'Christian Heipke' 'Stefan Herle' 'Hans-Gerd Maas' 'Helmut Mayer' 'Liqui Meng' 'Franz Rottensteiner' 'Jochen Schiewe' 'Monika Sester' 'Uwe Sörgel' 'Martin Werner'] Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling…
Sarigai Sarigai, Liping Yang, Katie Slack, K. Maria D. Lane + 4 more
visualizing and sensing high-dimensional geospatial (big) data Authors: ['Sarigai Sarigai' 'Liping Yang' 'Katie Slack' 'K. Maria D. Lane' 'Michaela Buenemann' 'Qiusheng Wu' 'Gordon Woodhull' 'Joshua Driscol'] - 1 Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM 87131, USA - 2…
Xinyuan Zhang, Yifan Xu, Kaiwen Li, Lingyun Yu + 1 more
Geographic infographics are increasingly utilized across various domains to convey spatially relevant information effectively. However, creating these infographics typically requires substantial expertise in design and visualization, as well as proficiency with specialized tools, which can deter many potential…
N. Piccolotto, M. Bögl, C. Muehlmann, K. Nordhausen + 2 more
'S. Miksch'] Title: Abstract Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are inteGral to many domains, e.g., indicators of valuable minerals are measured for mine prospecting. Popular analysis methods…
Abhishek K. Kala, Samuel F. Atkinson, Chetan Tiwari, Lei Wang
Background This study postulates that underlying environmental conditions and a susceptible population’s socio-economic status should be explored simultaneously to adequately understand a vector borne disease infection risk. Here we focus on West Nile Virus (WNV), a mosquito borne pathogen, as a case study for spatial…
Simon Warchol, Grace Guo, Johannes Knittel, Dan Freeman + 4 more
Dimensionality reduction techniques help analysts make sense of complex, high-dimensional spatial datasets, such as multiplexed tissue imaging, satellite imagery, and astronomical observations, by projecting data attributes into a two-dimensional space. However, these techniques typically abstract away crucial spatial…
Muhammed Khawatmi, Heba Sailem
Visualization of spatial datasets is essential for understanding biological systems that are composed of several interacting cell types. For example, gene expression data at the molecular level needs to be interpreted based on cell type, spatial context, tissue type, and interactions with the surrounding environment.…
Chaichontat Sriworarat, Annie Nguyen, Nicholas J. Eagles, Leonardo Collado-Torres + 3 more
High-resolution and multiplexed imaging techniques are giving us an increasingly detailed observation of a biological system. However, sharing, exploring, and customizing the visualization of large multidimensional images can be a challenge. Here, we introduce Loopy Browser, a performant and interactive image…
Wei Hu, Lin Li, Chao Wu, Hang Zhang + 2 more
Vector tile technology is developing rapidly and has received increasing attention in recent years. Compared to the raster tile, the vector tile has shown incomparable advantages, such as flexible map styles, suitability for high-resolution screens and ease of interaction. Recent studies on vector tiles have mostly…
Jiayang Wu, Wensheng Gan, Han‐Chieh Chao, Philip S. Yu
—In recent years, geospatial big data (GBD) has obtained attention across various disciplines, categorized into big earth observation data and big human behavior data. Identifying geospatial patterns from GBD has been a vital research focus in the fields of urban management and environmental sustainability. This paper…
Tarsha Eason, Wen-Ching Chuang, Shana Sundstrom, Heriberto Cabezas + 1 more
Given the intensity and frequency of environmental change, the linked and cross-scale nature of social-ecological systems, and the proliferation of big data, methods that can help synthesize complex system behavior over a geographical area are of great value. Fisher information evaluates order in data and has been…
Sweta Ojha, P. Travis Thompson, Christian D. Powell, Hunter N.B. Moseley + 1 more
Per- and polyfluoroalkyl substances (PFAS) contamination in water sources near potential PFAS users is well known. Therefore, it is useful for PFAS stakeholders to visualize hot-spot areas and bring attention to the water systems that are near to those areas. Towards this end, we extracted information about PFAS…
Zhenqing Ye, Zhao Lai, Siyuan Zheng, Yidong Chen
Single cell spatial-omics data visualization plays a pivotal role in unraveling the intricate spatial organization and heterogeneity of cellular systems. Although various software tools and packages have been developed for this purpose, challenges persist in terms of user-friendly accessibility, data integration, and…
Boyi Guo, Stephanie C. Hicks
The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve…
Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner
Data visualization is an important tool for exploring and communicating findings from genomic and health datasets. Yet, without a systematic way of understanding the design space of data visualizations, researchers do not have a clear sense of what kind of visualizations are possible, or how to distinguish between good…
Yudong Qiu, Daniel Smith, Chaya Stern, Mudong Feng + 1 more
The parameterization of torsional / dihedral angle potential energy terms is a crucial part of developing molecular mechanics force fields. Quantum mechanical (QM) methods are often used to provide samples of the potential energy surface (PES) for fitting the empirical parameters in these force field terms. To ensure…
Gaurav Bahuguna, Fernando Patolsky
Electrochemical reactions are the unrivaled backbone of next generation energy storage, energy conversion and healthcare devices. However, the in-situ real-time visualization of electrochemical reactions, which can shed light on various critical unknown insights on the electrochemical processes, still remains the…