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Published in 2025 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.70023
Abstract: Geospatial data enhances traditional datasets by integrating spatial and temporal dimensions, facilitating advanced visualizations and comprehensive analytical insights. As a fundamental aspect of geospatial analytics, geospatial data clustering (GDC) has become a prominent area of…
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Keywords:
clustering network;
geospatial data;
network space;
data clustering ... See more keywords
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Published in 2019 at "Applied Network Science"
DOI: 10.1007/s41109-019-0229-x
Abstract: IntroductionUrbanization and the continued growth of cities, both demographically and spatially, are topics of research studied across a range of disciplines in the urban millennium — a time in history when the majority of people…
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Keywords:
research;
networks need;
need geospatial;
secondary cities ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-71197-6
Abstract: The transportation infrastructure of the future will be based on autonomous vehicles. When it comes to transportation, both emerging and established nations are keen on perfecting systems based on autonomous vehicles. Transportation authorities in the…
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Keywords:
data peer;
autonomous vehicles;
geospatial data;
machine learning ... See more keywords
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Published in 2017 at "Scientific Data"
DOI: 10.1038/sdata.2017.180
Abstract: This article presents datasets prepared with the aim of helping the evaluation of geospatial matching methods for vector data. These datasets were built up from mapping data produced by official Spanish mapping agencies. The testbed…
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Keywords:
assessment matching;
matchingland geospatial;
testbed assessment;
data testbed ... See more keywords
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Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2020.1778001
Abstract: ABSTRACT Geospatial data conflation is aimed at matching counterpart features from two or more data sources in order to combine and better utilize information in the data. Due to the importance of conflation in spatial…
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Keywords:
conflation;
data conflation;
relational databases;
optimization relational ... See more keywords
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Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2020.1858301
Abstract: ABSTRACT The growth of georeferenced data sources calls for advanced matching methods to improve the reliability of geospatial data processing, such as map conflation. Existing matching methods mainly focus on similarity measures at the entity…
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Keywords:
data matching;
similarity;
georeferenced graph;
model ... See more keywords
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Published in 2025 at "Urban Water Journal"
DOI: 10.1080/1573062x.2025.2560550
Abstract: ABSTRACT A modeling framework was implemented to streamline the generation of hydrodynamic pluvial flood models from geospatial data. The geoprocessing methods were specifically tailored towards the parametrization of Nature-based Solutions (NBS) in urban environments. Model…
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Keywords:
streamlining geospatial;
geospatial data;
mitigation;
pluvial flood ... See more keywords
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Published in 2017 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2016.1266041
Abstract: ABSTRACT Linked Data is known as one of the best solutions for multisource and heterogeneous web data integration and discovery in this era of Big Data. However, data interlinking, which is the most valuable contribution…
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Keywords:
linked data;
quantitative interlinking;
multidimensional quantitative;
approach ... See more keywords
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Published in 2024 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2024.2365386
Abstract: ABSTRACT The emergence of the Digital Twin of Earth (DTE) signifies a pivotal advancement in the field of the Digital Earth, which includes observations, simulations, and predictions regarding the state of the Earth system and…
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Keywords:
real time;
time;
ingestion processing;
geospatial data ... See more keywords
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Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2510566
Abstract: ABSTRACT The rapid advancement of Earth observation technologies has resulted in an explosive growth of geoscientific data. Efficient retrieval of such data is essential but often challenging, especially for non-experts, due to decentralized data sources…
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Keywords:
large language;
knowledge;
geospatial data;
language ... See more keywords
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Published in 2017 at "Annals of GIS"
DOI: 10.1080/19475683.2017.1325404
Abstract: ABSTRACT All transportation management agencies face the yearly challenge of inspecting the condition of myriad miles of road surface. With routinely acquired and publicly available geospatial data and geospatial modelling techniques, there is potential to…
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Keywords:
overall pavement;
surface;
condition;
pavement surface ... See more keywords