Geographical Information Systems Theory, Applications and Management 4th International Conference, GISTAM 2018, Funchal, Madeira, Portugal, March 17-19, 2018, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ragia, Lemonia (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Grueau, Cédric (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Laurini, Robert (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1061
• Θέματα: Application software.; Data mining.; Computer organization.; Computers and civilization.; Programming languages (Electronic computers).; Computer security.; Information Systems Applications (incl. Internet).; Data Mining and Knowledge Discovery.; Computer Systems Organization and Communication Networks.; Computers and Society.; Programming Languages, Compilers, Interpreters.; Systems and Data Security.

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 selec...

Πίνακας περιεχομένων:

• 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.