@inproceedings{d0f436fb2b754cceb5b1bc8072e853c0,
title = "Terra populus: Challenges and opportunities with heterogeneous big spatial data",
abstract = "Big geospatial data have unique challenges not associated with the greater big data community, namely, that raster and vector analytical approaches have evolved along two separate paths. Terra Populus is a next-generation spatial database repository that focuses on the integration of heterogeneous big data. When accessing Terra Populus through a web interface, users are able to transform microdata, vector, and raster datasets into user-requested formats for analysis. By providing this framework, Terra Populus lowers the barriers for researchers examining human-environment interactions.",
keywords = "Apache spark, High-performance spatial analysis, Microdata, Parquet, PostGIS, PostgreSQL, Raster, Terra populus, Vector",
author = "David Haynes and Suprio Ray and Steven Manson",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 13th International Conference on Advances in Geocomputation, Geocomputation 2015 ; Conference date: 20-05-2015 Through 23-05-2015",
year = "2017",
doi = "10.1007/978-3-319-22786-3_11",
language = "English (US)",
isbn = "9783319227856",
series = "Advances in Geographic Information Science",
publisher = "Springer Heidelberg",
pages = "115--121",
editor = "Griffith, {Daniel A.} and Yongwan Chun and Dean, {Denis J.}",
booktitle = "Advances in Geocomputation - Geocomputation 2015—The 13th International Conference",
address = "Germany",
}