@inproceedings{340ecfcefc7e486ea39812e3de836fa2,
title = "GIS++: Modern C++ for efficient and parallel in-memory spatial computing",
abstract = "In this workshop, the participants get a deep dive to spatial computing on top of the Boost Geometry Library in C++. The workshop will highlight core concepts of generic programming, give hands-on experience in the area of OGC geometry and range and nearest neighbor queries based on arbitrary combinations of OGC and custom predicates. Finally, the tutorial gives an outlook how easy it has become to interface with covering libraries including GDAL, Python, and OpenGL.",
keywords = "C++, OGC Simple Feature Geometry, Spatial Computing, Spatial Indexing, Spatial Queries",
author = "Martin Werner",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019 ; Conference date: 05-11-2019",
year = "2019",
month = nov,
day = "5",
doi = "10.1145/3356394.3365587",
language = "English",
series = "Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019",
publisher = "Association for Computing Machinery, Inc",
editor = "Ahmed Eldawy",
booktitle = "Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019",
}