Results 41 to 50 of about 192,763 (193)

Map4rdf - Faceted Browser for Geospatial Datasets [PDF]

, 2012
Recently we have seen a large increase in the amount of geospatial data that is being published using RDF and Linked Data principles. Eorts such as the W3C Geo XG, and most recently the GeoSPARQL initiative are providing the necessary vocabularies to pub-
Corcho, Oscar, Leon, Alexander de, Villazón-Terrazas, Boris, Wisniewki, Filip   +3 more
core   +1 more source

Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems

, 2013
The modelling, analysis, and visualisation of dynamic geospatial phenomena has been identified as a key developmental challenge for next-generation Geographic Information Systems (GIS).
Bhatt, Mehul, Wallgruen, Jan Oliver
core   +2 more sources

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

ISPRS International Journal of Geo-Information, 2022
GPS trajectories collected from automotive telematics for insurance purposes go beyond being a collection of points on the map. They are in fact a powerful data source that we can use to extract map and road network properties. While the location of road
Abdelmajid Erramaline, Thierry Badard, Marie-Pier Côté, Thierry Duchesne, Olivier Mercier   +4 more
doaj   +1 more source

The PLACE Toolkit: exposing geospatial ready digital collections [PDF]

, 2017
PLACE, the Position-based Library Archive Coordinate Explorer, is a University of New Hampshire geospatial data server and search interface that enables discovery of digital collections. Identifying geographic coordinates for “geospatial ready” digitized
Exline, Eleta, Hamalainen, Hannah, Harper, Val, PLACE Project Group, Routhier, Michael   +4 more
core   +2 more sources

Assessing nighttime artificial light pollution from the perspective of an unmanned aerial vehicle tilt

Geocarto International
Increasing artificial light at night (ALAN) impacts urban sustainability and contributes to light pollution. Nighttime satellites miss side ALAN, so drone-captured tilted images and measured illuminance are used to assess ALAN pollution within urban ...
Jiejie Wu, Liang Zhou, Deping Li, Daoquan Zhang, Tingting Jiang, Chengzhi Zong   +5 more
doaj   +1 more source

Ontological Foundations for Geographic Information Science [PDF]

, 2004
We propose as a UCGIS research priority the topic of “Ontological Foundations for Geographic Information.” Under this umbrella we unify several interrelated research subfields, each of which deals with different perspectives on geospatial ontologies and ...
Egenhofer, Max, Hirtle, Stephen, Mark, David, Smith, Barry   +3 more
core   +1 more source

Mother: a maternal online technology for health care dataset

BMC Research Notes
Objectives These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy. Such
Odongo Steven Eyobu, Brian Angoda Nyanga, Lukman Bukenya, Daniel Ongom, Tonny J. Oyana   +4 more
doaj   +1 more source

Fine-Tuning LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies

ISPRS International Journal of Geo-Information
The extraction of disaster geospatial intelligence (DGI) from social media data with spatiotemporal attributes plays a crucial role in real-time disaster monitoring and emergency decision-making. However, conventional machine learning approaches struggle
Yaoyao Han, Jiping Liu, An Luo, Yong Wang, Shuai Bao   +4 more
doaj   +1 more source

Compression Supports Spatial Deep Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
In the last decades, the domain of spatial computing became more and more data driven, especially when using remote sensing-based images. Furthermore, the satellites provide huge amounts of images, so the number of available datasets is increasing.
Gabriel Dax, Srilakshmi Nagarajan, Hao Li, Martin Werner   +3 more
doaj   +1 more source