Advances in Geocomputation

Daniel A. Griffith

ISBN 10: 3319794272 / ISBN 13: 9783319794273

Edité par Springer International Publishing, Springer International Publishing Apr 2018, 2018

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.

N° de réf. du vendeur 9783319794273

Détails bibliographiques

• Titre: Advances in Geocomputation
• Éditeur: Springer International Publishing, Springer International Publishing Apr 2018
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319794272
• ISBN à 13 chiffres: 9783319794273
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 25 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 698 grammes

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.