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   Articles with "geospatial data" as a keyword



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Networks of need: a geospatial analysis of secondary cities

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recommendations! 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… read more here.

Keywords: research; networks need; need geospatial; secondary cities ... See more keywords
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MatchingLand, geospatial data testbed for the assessment of matching methods

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recommendations! 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… read more here.

Keywords: assessment matching; matchingland geospatial; testbed assessment; data testbed ... See more keywords
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Geospatial data conflation: a formal approach based on optimization and relational databases

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recommendations! 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… read more here.

Keywords: conflation; data conflation; relational databases; optimization relational ... See more keywords
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A georeferenced graph model for geospatial data matching by optimising measures of similarity across multiple scales

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recommendations! 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… read more here.

Keywords: data matching; similarity; georeferenced graph; model ... See more keywords
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Multidimensional and quantitative interlinking approach for Linked Geospatial Data

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recommendations! 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… read more here.

Keywords: linked data; quantitative interlinking; multidimensional quantitative; approach ... See more keywords
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Pavement surface condition estimation based on geospatial modelling

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recommendations! 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… read more here.

Keywords: overall pavement; surface; condition; pavement surface ... See more keywords
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Specifying geospatial data product characteristics for forest and fuel management applications

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recommendations! Published in 2022 at "Environmental Research Letters"

DOI: 10.1088/1748-9326/ac5ee0

Abstract: One of the greatest challenges for land managers is to maintain a multitude of ecosystem services while reducing hazards posed by wildfires, insect outbreaks, and other disturbances accelerating due to climate change. In response to… read more here.

Keywords: data characteristics; management; specifying geospatial; natural resource ... See more keywords
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Efficient Geospatial Data Analysis Framework in Fog Environment

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3231787

Abstract: GeoSpatial (GS) data plays an important role for decision-making in different sectors such as engineering, economic, political, environmental, and social aspects. Internet of Spatial Things (IoST) is concerned with revising the Internet of Things (IoT)… read more here.

Keywords: environment; geospatial data; framework; analysis ... See more keywords
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Multilayer Architecture for Heterogeneous Geospatial Data Analytics: Querying and Understanding EO Archives

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recommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2017.2649040

Abstract: The constantly growing process of the Earth Observation (EO) data and their heterogeneity require new systems and tools for effectively querying and understanding the available data archives. In this paper, we present a tool for… read more here.

Keywords: querying understanding; data analytics; architecture heterogeneous; multilayer architecture ... See more keywords
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Developing a Predictive Model for Plasmodium knowlesi-Susceptible Areas in Malaysia Using Geospatial Data and Artificial Neural Networks.

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recommendations! Published in 2021 at "Asia-Pacific journal of public health"

DOI: 10.1177/10105395211048620

Abstract: Plasmodium knowlesi is an emerging species for malaria in Malaysia, particularly in East Malaysia. This infection contributes to almost half of all malaria cases and deaths in Malaysia and poses a challenge in eradicating malaria.… read more here.

Keywords: knowlesi; malaria cases; predictive model; plasmodium knowlesi ... See more keywords
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G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage

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recommendations! Published in 2020 at "Earthquake Spectra"

DOI: 10.1177/8755293020926190

Abstract: While unprecedented amounts of building damage data are now produced after earthquakes, stakeholders do not have a systematic method to synthesize and evaluate damage information, thus leaving many datasets unused. We propose a Geospatial Data… read more here.

Keywords: integration framework; data integration; damage; geospatial data ... See more keywords