Existing GIS software mainly target at expert users and do not sufficiently integrate resources
for efficient computing. They are difficult for non-experts to use and are often slow in …

Loose programming enables analysts to program with concepts instead of procedural code.
Data transformations are left underspecified, leaving out procedural details and exploiting …

One of the key concerns in geographic modeling is the preparation of input data that are
sufficient and appropriate for models. This requires considerable time, effort, and expertise …

Understanding syntactic and semantic structure of geographic questions is a necessary step
towards true geographic question-answering (GeoQA) machines. The empirical basis for the …

In this article, we critically examine the role of semantic technology in data driven analysis.
We explain why learning from data is more than just analyzing data, including also a number …

In geographic information systems (GIS), analysts answer questions by designing workflows
that transform a certain type of data into a certain type of goal. Semantic data types help …

The increasing availability of geospatial data offers great opportunities for advancing
scientific discovery and practices in society. Effective and efficient processing of geospatial …

Land cover change (LCC) is increasingly affecting global climate change, energy cycle,
carbon cycle, and water cycle, with far-reaching consequences to human well-being. Web …

Geographic information has become central for data scientists of many disciplines to put
their analyzes into a spatio-temporal perspective. However, just as the volume and variety of …

The proliferation of geospatial data from diverse sources, such as Earth observation
satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing …