A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Geosciences"
DOI: 10.1007/s11004-020-09892-z
Abstract: Spatial data analytics provides new opportunities for automated detection of anomalous data for data quality control and subsurface segmentation to reduce uncertainty in spatial models. Solely data-driven anomaly detection methods do not fully integrate spatial… read more here.
Keywords: detection; detection method; anomaly detection; spatial correlation ... See more keywords
Automatic harmonization of heterogeneous agronomic and environmental spatial data
Sign Up to like & getrecommendations! Published in 2019 at "Precision Agriculture"
DOI: 10.1007/s11119-019-09650-0
Abstract: The analysis and mapping of agronomic and environmental spatial data require observations to be comparable. Heterogeneous spatial datasets are those for which the observations of different datasets cannot be directly compared because they have not… read more here.
Keywords: heterogeneous spatial; acquisition conditions; environmental spatial; agronomic environmental ... See more keywords
Editorial to the topical collection “Learning from spatial data: unveiling the geo-environment through quantitative approaches”
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8129-z
Abstract: The interactions between geoenvironmental and anthropic processes are increasing due to the ever-growing population and its related side effects (e.g., urban sprawl, natural resource and energy consumption, etc.). Natural hazards, land degradation, environmental pollution and… read more here.
Keywords: analysis; session; geo; learning spatial ... See more keywords
SIRENE: A Spatial Data Infrastructure to Enhance Communities’ Resilience to Disaster-Related Emergency
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Disaster Risk Science"
DOI: 10.1007/s13753-018-0160-2
Abstract: Planning in advance to prepare for and respond to a natural hazard-induced disaster-related emergency is a key action that allows decision makers to mitigate unexpected impacts and potential damage. To further this aim, a collaborative,… read more here.
Keywords: information; disaster related; emergency; related emergency ... See more keywords
Engaging global youth in participatory spatial data creation for the UN sustainable development goals: The case of open mapping for malaria prevention
Sign Up to like & getrecommendations! Published in 2018 at "Applied Geography"
DOI: 10.1016/j.apgeog.2018.07.013
Abstract: Abstract Practitioners bemoan lack of data as one of the biggest obstacles to progress towards global sustainable development goals. This paper explores a scaled-up participatory method developed by YouthMappers, for creating missing geospatial data derived… read more here.
Keywords: mapping; sustainable development; data creation; development goals ... See more keywords
Harvesting geo-spatial data on coastal fish assemblages through coordinated citizen science
Sign Up to like & getrecommendations! Published in 2018 at "Fisheries Research"
DOI: 10.1016/j.fishres.2018.07.015
Abstract: Abstract In response to repeated complaints from recreational and commercial coastal fishermen about declining fishing opportunities in inner Danish waters, focus was directed to inshore fish stocks. However, without data targeting inshore areas, it was… read more here.
Keywords: spatial data; coastal fish; citizen science; harvesting geo ... See more keywords
Spatial data for slum upgrading: Volunteered Geographic Information and the role of citizen science
Sign Up to like & getrecommendations! Published in 2017 at "Habitat International"
DOI: 10.1016/j.habitatint.2017.04.011
Abstract: Abstract Urban informal settlements are growing rapidly, placing slum upgrading on the political agenda worldwide. This paper presents a survey on existing approaches integrating spatial data and slum upgrading. More precisely, it aims to explore… read more here.
Keywords: information; data slum; slum upgrading; citizen ... See more keywords
From silent knowledge to spatial information – Mapping blue growth scenarios for maritime spatial planning
Sign Up to like & getrecommendations! Published in 2019 at "Marine Policy"
DOI: 10.1016/j.marpol.2019.103598
Abstract: Abstract Maritime Spatial Planning (MSP) is an effective tool for conciliating human activities and environmental values, building on spatial data and geoinformation technologies. However, socio-economic information is distinctly underrepresented in the rapidly growing supply of… read more here.
Keywords: spatial data; spatial planning; socio economic; maritime spatial ... See more keywords
History of geodetic works in Vojvodina (Northern Serbia) and use of old maps in Serbian national spatial data infrastructure
Sign Up to like & getrecommendations! Published in 2021 at "Survey Review"
DOI: 10.1080/00396265.2021.1886546
Abstract: Imperial hegemony established by the Habsburg Monarchy relied upon proper mapping during its conquests. The need for the development of geodesy and establishing reference frames was important. Until the end of the First World War,… read more here.
Keywords: serbian national; serbia; data infrastructure; spatial data ... See more keywords
A spectral domain test of isotropic properties for irregularly spaced spatial data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1807550
Abstract: In modelling spatial data, it is a crucial aspect to specify the covariance function of the random field appropriately. For the sake of simplicity, the spatial isotropy is often assumed. By approximating the isotropy by… read more here.
Keywords: spaced spatial; spectral domain; domain test; test ... See more keywords
Improving planning by integrating spatial data into decision support systems
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Decision Systems"
DOI: 10.1080/12460125.2019.1697144
Abstract: ABSTRACT For many decision problems, the spatial availability of inputs or the spatial distribution of customers are important decision parameters that should be considered as precisely as possible. One example of such a decision problem… read more here.
Keywords: decision; systems improving; improving planning; decision support ... See more keywords