Implementation of Heat Maps in Geographical Information System – Exploratory Study on Traffic Accident Data

Abstract In this study, the authors created an overview of the usage of heat maps as a GIS visualization method. In the first part of the paper, a significant number of studies was evaluated, and the technique was thoroughly described to set up a base level for further research. At this moment, the most used input data for heat maps are point data. While these data fit the method very well, also studies based on line and polygon data were found. The second part of the paper is devoted to an exploratory study on traffic accident data of the Olomouc city, Czech Republic. Even spatial distribution of the dataset by geographical information system makes it the perfect example of heat map usage. These data were visualized in multiple ways changing color range, kernel size, radius, and transparency. Two groups of users were created in order to evaluate these heat maps. One group was consisting of those educated or working in cartography. The second one was consisting of the general public. Created heat maps were shown to these volunteers and their task was to decide their preferred solution. Most of the users chose bright colors with a negative feeling, such as red, for traffic accident visualization. The best settings for transparency was identified to be around 50%. The final questions were about map readability based on radius. This setting is tied to map scale but follows a common trend throughout the research. The results of this work are a general set of recommendations and specific evaluation of the exploratory study regarding traffic accidents spatial data. The general recommendations include basic principles of the method, implementation by GIS, suitable data and correct usage of heat maps. The evaluation is answering specific questions regarding heat map settings, style and presentation in the specific case.

[1]  Zdeněk Stachoň,et al.  Cartographic Design and Usability of Visual Variables for Linear Features , 2016 .

[2]  Susanne Boll,et al.  Visual Overlay on OpenStreetMap Data to Support Spatial Exploration of Urban Environments , 2015, ISPRS Int. J. Geo Inf..

[3]  Cynthia A. Brewer,et al.  ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps , 2003 .

[4]  Nuria Lopez-Bigas,et al.  Gitools: Analysis and Visualisation of Genomic Data Using Interactive Heat-Maps , 2011, PloS one.

[5]  Dragica M. Živković MATRIX PIXEL AND KERNEL DENSITY ANALYSIS FROM THE TOPOGRAPHIC MAPS , 2016 .

[6]  Hyun-Jin Jung,et al.  Heat-map visualization of gas chromatography-mass spectrometry based quantitative signatures on steroid metabolism , 2009, Journal of the American Society for Mass Spectrometry.

[7]  B. Silverman Density estimation for statistics and data analysis , 1986 .

[8]  C.P.J.M. van Elzakker,et al.  The use of maps in the exploration of geographic data , 2004 .

[9]  Jiří Pánek,et al.  Emotional mapping and its participatory potential: Opinions about cycling conditions in Reykjavík, Iceland , 2017 .

[10]  Silviu Marian Ciobanu,et al.  Hotspots and social background of urban traffic crashes: A case study in Cluj-Napoca (Romania). , 2016, Accident; analysis and prevention.

[11]  Z. Dobesová CARTOGRAPHIC ASPECTS OF CREATION OF PLANS FOR BOTANICAL GARDEN AND CONSERVATORIES , 2013 .

[12]  Rostislav Nétek,et al.  WebGIS Solution for Crisis Management Support - Case Study of Olomouc Municipality , 2014, ICCSA.

[13]  Alena Vondráková NON-TECHNOLOGICAL ASPECTS OF MAP PRODUCTION , 2013 .

[14]  Hubert L. Dreyfus,et al.  Mind over Machine: A Plea for the Intuitive Conception of Mind@@@Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer , 1988 .

[15]  C. D. Kemp,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[16]  Li Zhu,et al.  A GIS-based Bayesian approach for analyzing spatial–temporal patterns of intra-city motor vehicle crashes , 2007 .

[17]  R. Netek,et al.  FRAMEWORK SEE-THINK-DO AS A TOOL FOR CROWDSOURCING SUPPORT - CASE STUDY ON CRISIS MANAGEMENT , 2016 .

[18]  Jonathan Sidi,et al.  heatmaply: an R package for creating interactive cluster heatmaps for online publishing , 2017, Bioinform..

[19]  Thomas A. Horan,et al.  Making Traffic Safety Personal: Visualization and Customization of National Traffic Fatalities , 2009, VINCI.

[20]  Jan Westerholm,et al.  Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy , 2015, ISPRS Int. J. Geo Inf..

[21]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[22]  Johannes Trame Exploring the Lineage of Volunteered Geographic Information with Heat Maps , 2010 .

[24]  Z. Keken,et al.  The effect of traffic intensity and animal activity on probability of ungulate-vehicle collisions in the Czech Republic , 2017 .

[25]  Craig Caulfield,et al.  Spatial and temporal visualisation techniques for crash analysis. , 2011, Accident; analysis and prevention.

[26]  Arzu Çöltekin,et al.  User studies in cartography: opportunities for empirical research on interactive maps and visualizations , 2017 .

[27]  Tessa K Anderson,et al.  Kernel density estimation and K-means clustering to profile road accident hotspots. , 2009, Accident; analysis and prevention.

[28]  Mike DeBoer Understanding the Heat Map , 2015 .

[29]  Matt Ziegler,et al.  Visualizing and interacting with large-volume biodiversity data using client-server web-mapping applications: The design and implementation of antmaps.org , 2016, Ecol. Informatics.

[30]  Alzbeta Brychtova GREEN VERSUS RED: EYE-TRACKING EVALUATION OF SEQUENTIAL COLOUR SCHEMES , 2014 .

[31]  R. Ullah,et al.  Usability evaluation of centered time cartograms , 2016 .

[32]  Ali Soltani,et al.  Analysis of Intra-Urban Traffic Accidents Using Spatiotemporal Visualization Techniques , 2014 .