Results 131 to 140 of about 199,814 (261)

A GeoAI framework for coastal flood risk assessment: integrating remote sensing and socioeconomic data

Frontiers in Climate
Bangladesh’s coastal zone is widely recognized as one of the most hazard-prone regions of the world. Within this vulnerable belt, Lakshmipur District stands for its long, highly exposed coastline and its recurrent experience of hydrometeorological ...
Munshi Khaledur Rahman, Md Sariful Islam, Thomas Crawford, Emma Robinson, Md. Farhad Hossain   +4 more
doaj   +1 more source

Editorial: Geospatial and Transport Modeling in Stroke Service Planning

Frontiers in Neurology, 2019
Thanh G. Phan, Thanh G. Phan, Richard Beare, Richard Beare, Richard Beare, Noreen Kamal   +5 more
doaj   +1 more source

Multicriteria Prioritization of Geospatial Data Sources Using the Neutrosophic Hierarchical Analytic Process in Spatial Ontologies [PDF]

Neutrosophic Sets and Systems
The need for an automatic fusion of heterogeneous, generally untrustworthy geospatial sources into spatial ontologies necessitates prioritization when conflicts arise or lower qualities emerge.
Manuel Enrique Puebla Martínez
doaj  

Idaho Geospatial Committee Meeting Minutes

, 2008
Geospatial Committee minutes for Apr ...
Administration, Idaho Dept. of, Geospatial Office
core   +3 more sources

Mapping The Transformation of Economic Structure in Solo Raya in 2014-2023: Geospatial Approach

Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan
Indonesia has a variety of geographical landscapes that can affect the economic structure in each of its regions. This study aims to understand changes in the contribution and growth of economic sectors in the Solo Raya region, as well as to identify ...
Habib Bahtiar, Evi Gravitiani, Mulyanto Mulyanto, Sarjiyanto Sarjiyanto, Wang Yao Hong   +4 more
doaj   +1 more source

Geospatial Privacy and Security [PDF]

Journal of Spatial Information Science, 2019
Grant McKenzie, Carsten Keßler, Clio Andris   +2 more
openaire   +3 more sources

An Evolutionary Geospatial Regression Tree.

, 2023
Tree-based methods have become popular for spatial prediction tasks due to their high accuracy in dividing input spaces into regions with different predictions. However, traditional decision trees perform univariate splits, resulting in rectangular regions.
Geerts, Margot, vanden Broucke, Seppe, De Weerdt, Jochen   +2 more
openaire   +3 more sources

Geospatial and AHP based identification of potential zones for groundwater recharge in Haridwar District of India

Frontiers in Environmental Science
Demarcation of the groundwater recharge prospective zones can be the foremost step in facilitating groundwater recharge in any terrain, as most nations have a major concern about unreasonable use of groundwater and declining the water table.
Saied Pirasteh, Abdul Samad, Rizwan Ahmad, L. N. Thakural, Haris Hasan Khan, Pankaj Chauhan, Arina Khan, Mohammed Zaid Qamar   +7 more
doaj   +1 more source

Representing Geospatial Knowledge in Narratives

Journal on Computing and Cultural Heritage
This article explores the representation of geospatial knowledge within narratives through a Semantic Web approach. We introduce the NOnt+Space (NOnt+S) model, an extension of the CIDOC CRM-based Narrative Ontology, which allows the representation of narratives and their geospatial aspects.
Bartalesi Lenzi V., Pratelli N.
openaire   +1 more source

Digital Transformation and Location Data Interoperability Skills for Small and Medium Enterprises

ISPRS International Journal of Geo-Information
In the dynamic landscape of digital transformation, data interoperability—particularly for location data—is a key enabler of operational efficiency, innovation, and collaboration for Small and Medium Enterprises (SMEs). Despite their strategic importance,
Monica De Martino, Giacomo Martirano, Alfonso Quarati, Francesco Varni, Mayte Toscano Domínguez   +4 more
doaj   +1 more source