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Next generation of GIS: must be easy
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 …
for efficient computing. They are difficult for non-experts to use and are often slow in …
[HTML][HTML] From manual to intelligent: A review of input data preparation methods for geographic modeling
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 …
sufficient and appropriate for models. This requires considerable time, effort, and expertise …
Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis
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 …
We explain why learning from data is more than just analyzing data, including also a number …
Loose programming of GIS workflows with geo‐analytical concepts
Loose programming enables analysts to program with concepts instead of procedural code.
Data transformations are left underspecified, leaving out procedural details and exploiting …
Data transformations are left underspecified, leaving out procedural details and exploiting …
Extracting interrogative intents and concepts from geo-analytic questions
Understanding syntactic and semantic structure of geographic questions is a necessary step
towards true geographic question-answering (GeoQA) machines. The empirical basis for the …
towards true geographic question-answering (GeoQA) machines. The empirical basis for the …
Ontology of core concept data types for answering geo-analytical questions
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 …
that transform a certain type of data into a certain type of goal. Semantic data types help …
[PDF][PDF] Geospatial information processing technologies
The increasing availability of geospatial data offers great opportunities for advancing
scientific discovery and practices in society. Effective and efficient processing of geospatial …
scientific discovery and practices in society. Effective and efficient processing of geospatial …
An ontology-driven cyberinfrastructure for intelligent spatiotemporal question answering and open knowledge discovery
The proliferation of geospatial data from diverse sources, such as Earth observation
satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing …
satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing …
Finding and sharing GIS methods based on the questions they answer
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 …
their analyzes into a spatio-temporal perspective. However, just as the volume and variety of …
[HTML][HTML] K-span: Open and reproducible spatial analytics using scientific workflows
This paper describes the design, development, and testing of a general-purpose scientific-
workflows tool for spatial analytics. Spatial analytics processes are frequently complex, both …
workflows tool for spatial analytics. Spatial analytics processes are frequently complex, both …