This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.
Preface.- Introduction.- The Nexus of Food, Energy, and Water Resources:
Visions and Challenges in Spatial Computing.- The Birds-Eye View from a
Worms-Eye Perspective.- Part I. Spatial Data: Construction, Representation,
and Visualization.- High-Resolution Population Grids for the Entire
Conterminous United States.- A Hybrid Dasymetric and Machine Learning
Approach to High-Resolution Residential Electricity Consumption Modeling.-
Can Social Media Play a Role in Developing Building Occupancy Curves?.-
Application of Social Media Data to High Resolution Mapping of a Special
Event Population.- Animating Maps: Visual Analytics Meets Geoweb 2.0.- Atvis:
A New Transit Visualization System.- Mapping Spatiotemporal Patterns of
Disabled People: The Case of the St. Judes Storm Emergency.- Terra Populus:
Challenges and Opportunities with Heterogeneous Big Spatial Data.- Part II.
Spatial Analysis: Methods and Applications.- A Deviation Flow Refueling
Location Model for Continuous Space: A Commercial Drone Delivery System for
Urban Areas.- Exploring the Spatial Decay Effect in Mass Media and
Location-Based Social Media: A Case Study of China.- Uncovering the Digital
Divide and the Physical Divide in Senegal Using Mobile Phone Data.-
Predicting Hourly Ozone Pollution in the DallasFort Worth Area Using
Spatiotemporal Clustering.- Does the Location of Amerindian Communities
Provide Signals about the Spatial Distribution of Tree and Palm Species?.-
World Climate Search and Classification Using a Dynamic Time Warping
Similarity Function.- Attribute Portfolio Distance: A Dynamic Time
Warping-Based Approach to Comparing and Detecting Common Spatiotemporal
Patterns among Multiattribute Data Portfolios.- When Space Beats Time: A
Proof of Concept with Hurricane Dean.- Using Soft Computing Logic and the
Logic Scoring of Preference Method for Agricultural Land Suitability
Evaluation.- Surgical Phase Recognition Using Movement Data from Video
Imagery and Location Sensor Data.- Part III. Spatial Statistical and
Geostatistical Modeling.- Respondent Driven Sampling and Spatial
Autocorrelation.- The Moran Coefficient and the Geary Ratio: Some
mathematical and numerical comparisons.- A Variance-Stabilizing
Transformation to Mitigate Biased Variogram Estimation in Heterogeneous
Surfaces with Clustered Samples.- Estimating a Variance Function of a
Nonstationary Process.- The Statistical Distribution of Coefficients for
Constructing Eigenvector Spatial Filters.- Spatial Data Analysis
Uncertainties Introduced by Selected Sources of Error.- Spatiotemporal
Epidemic Modeling with libSpatialSEIR: Specification, Fitting, Selection, and
Prediction.- Geostatistical Models for the Spatial Distribution of Uranium in
the Continental United States.- Modeling Land Use Change Using an Eigenvector
Spatial Filtering Model Specification for Discrete Responses.- Part IV.
Computational Challenges and Advances in Geocomputation: High Performance
Computation and Dynamic Simulation.- From Everywhere to Everywhere (FETE):
Adaptation of a Pedestrian Movement Network Model to a Hybrid Parallel
Environment.- Parallelizing Affinity Propagation Using Graphics Processing
Units for Spatial Cluster Analysis over Big Geospatial Data.- A Web-Based
Geographic Information Platform to Support Urban Adaptation to Climate
Change.- A Fully Automated High-Performance Image Registration Work Flow to
Support Precision Geolocation for Imagery Collected by Airborne and
Spaceborne Sensors.- MIRAGE: A Framework for Data-driven Collaborative
High-resolution Simulation.- A Graph-Based Locality-Aware Approach to
Scalable Parallel Agent-Based Models of Spatial Interaction.- Simulation of
Human Wayfinding Uncertainties: Operationalizing a Wandering Disutility
Function.- Design and Validation of Dynamic Hierarchies and Adaptive Layouts
Using Spatial Graph Grammars.
Dr. Daniel A. Griffith is an Ashbel Smith Professor of Geospatial Information Sciences at the University of Texas at Dallas, chair of the International Spatial Accuracy Research Association (ISARA) Steering Committee, a Committee member of the International Geographical Union (IGU) Commission on Modeling Geographical Systems Steering, an elected Regional Science Association International (RSAI) Councilor, a two-appointment Fulbright Senior Specialist, and an elected fellow of the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), the Spatial Econometrics Association, the RSAI, and the New York Academy of Sciences. He also is a former Guggenheim fellow, and has been awarded distinguish scholarship honors by the Association of American Geographers. Dr. Griffith has published nearly two dozen books and over 200 papers, and is a previous editor of Geographical Analysis.
Dr. Yongwan Chun is an associate professor of Geospatial Information Sciences at the University of Texas at Dallas. His research interests lie in spatial statistics and GIS, focusing on urban issues concerning population movement, environment, health, and crime. His research has been supported by the US National Science Foundation and the US National Institutes of Health, among others. He has over 50 publications, including books, journal articles, book chapters, conference proceedings, and encyclopedia entries. He served on the Geocomputation (2015) and Spatial Statistics (2013) international conference organizing committees. Dr. Denis J. Dean is the Dean of the School of Economic, Political and Policy Sciences and a former Head of the Geospatial Information Sciences program at the University of Texas at Dallas. He has taught courses in spatial optimization, geospatial modeling and analysis,remote sensing, cartography, geodesy and other aspects of geospatial information sciences to students in North and South America, Europe and Asia. He has published over 75 papers on spatial optimization, accuracy assessment of common spatial analysis operators, and other areas of geospatial information science.
