A compiler approach to map algebra: automatic parallelization, locality optimization, and GPU acceleration of raster spatial analysis-Reference-Cited by-同舟云学术

A compiler approach to map algebra: automatic parallelization, locality optimization, and GPU acceleration of raster spatial analysis

Published:2017-11-18 Issue:2 Volume:22 Page:211-235
ISSN:1384-6175
Container-title:GeoInformatica
language:en
Short-container-title:Geoinformatica

Author:

Carabaño Jesús,Westerholm Jan,Sarjakoski Tapani

Funder

Suomen Akatemia (FI)

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Link

http://link.springer.com/article/10.1007/s10707-017-0312-3/fulltext.html

Reference63 articles.

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3. Tomlin CD (2013) GIS and cartographic modeling. Esri Press

4. Wesseling CG, Karssenberg D, Burrough PA, Van Deursen WPA (1996) Integrating dynamic environmental models in GIS: The development of a Dynamic Modelling language. Trans GIS 1:40–48. https://doi.org/10.1111/j.1467-9671.1996.tb00032.x

5. Takeyama M, Couclelis H (1997) Map dynamics: integrating cellular automata and GIS through Geo-Algebra. Int J Geogr Inf Sci 37–41

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