Geographical Information Systems Theory, Applications and Management
4th International Conference, GISTAM 2018, Funchal, Madeira, Portugal, March 17-19, 2018, Revised Selected Papers
Published on 21. August 2019
X, 149 pages
978-3-030-29948-4 (ISBN)
Description
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018, held in Funchal, Madeira, Portugal, in March 2018.
The 7 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 149 p. 70 illus., 60 illus. in color.
File size
26,12 MB
ISBN-13
978-3-030-29948-4 (9783030299484)
DOI
10.1007/978-3-030-29948-4
Schweitzer Classification
Other editions
Additional editions
Lemonia Ragia | Cédric Grueau | Robert Laurini
Geographical Information Systems Theory, Applications and Management
4th International Conference, GISTAM 2018, Funchal, Madeira, Portugal, March 17-19, 2018, Revised Selected Papers
Book
08/2019
Springer
€53.49
Shipment within 7-9 days
Content
Reconstruction of Piecewise-explicit Surfaces from Three-dimensional Polylines and Heightmap Fragments.- Comparison of Traditional and Constrained Recursive Clustering Approaches for Generating Optimal Census Block Group Clusters.- Emergence of Geovigilantes and Geographic Information Ethics in the Web 2.0 Era.- Indexing Spelling Variants for Accurate Address Search.- Geovisualization Technologies Applied to Statistical Characterization of the Iberian Peninsula Rainfall using the Global Climate Monitor Web Viewer.- What Are You Willing to Sacrifice to Protect Your Privacy when using a Location-based Service?.- Enabling Standard Geospatial Capabilities in Spark for the Efficient Processing of Geospatial Big Data.
