The SpatialAPI workshop aims to provide hands-on experience to the SIGSPATIAL community on a variety of Application Programming Interfaces (APIs) for processing and accessing spatial data through tutorials. The topics include but are not limited to: web mapping APIs, spatial data science libraries, high-performance geospatial processing libraries, and systems for spatiotemporal data.
Proceeding Downloads
Interactive mapping and geospatial analysis with Leafmap and Jupyter
Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is built upon several open-source packages, such as ipyleaflet and kepler.gl (for creating interactive maps), WhiteboxTools (for ...
MobilityDB: hands on tutorial on managing and visualizing geospatial trajectories in SQL
MobilityDB is an open source moving object database. It extends PostgreSQL and PostGIS with types and operations for managing continuous geospatial trajectories. This hand-on tutorial will introduce the attendees to: (1) trajectory data management in ...
CyberGIS-compute for enabling computationally intensive geospatial research
- Anand Padmanabhan,
- Ximo Ziao,
- Rebecca C. Vandewalle,
- Furqan Baig,
- Alexander Michel,
- Zhiyu Li,
- Shaowen Wang
Geospatial research and education have become increasingly dependent on cyberGIS to tackle computation and data challenges. However, the use of advanced cyberinfrastructure resources for geospatial research and education is extremely challenging due to ...
A brief introduction to geospatial big data analytics with apache AsterixDB
There is immense potential with spatial data, which is even more significant when combined with temporal or textual features, or both. However, it is expensive to store and analyze spatial data, and it is even more challenging with the combined features ...
The OGC/ISO coverage API standards: Heavy-lifting APIs for massive multi-dimensional data
The concept of coverages, generally grasping multi-dimensional space/time varying phenomena, has received impressive attention among service implementers and operators. The biggest reason for this success is that coverages conveniently model datacubes, ...
- Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| SpatialAPI'20 | 6 | 3 | 50% |
| SpatialAPI'19 | 5 | 4 | 80% |
| Overall | 11 | 7 | 64% |