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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines. [PDF]
Dillner RP +4 more
europepmc +1 more source
Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios. [PDF]
Zunker H +7 more
europepmc +1 more source
Discovery, reusability, sustainability: Exploring principles for web-map application development with <i>Peripleo</i>. [PDF]
Rees G, Isaksen L, Gadd S, Simon R.
europepmc +1 more source
Temporal Trends in Air Pollution Exposure across Socioeconomic Groups in The Netherlands. [PDF]
Hlubek N +3 more
europepmc +1 more source
Mapping geo-information education in Europe [PDF]
Lammeren, R.J.A., van, Rip, F.I.
core +1 more source
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2023
Geospatial data elaborated as part of the project “Governance processes and sustainability impacts of the extractive industries: Generating transformation knowledge in the biodiversity hotspot of Madagascar”, Centre for Development and Environment, University of Bern. Donor: SNIS, Geneva.
Würsch, Lukas Franz +3 more
openaire +1 more source
Geospatial data elaborated as part of the project “Governance processes and sustainability impacts of the extractive industries: Generating transformation knowledge in the biodiversity hotspot of Madagascar”, Centre for Development and Environment, University of Bern. Donor: SNIS, Geneva.
Würsch, Lukas Franz +3 more
openaire +1 more source
2020
We illustrate a fewrecent ideas of Object Oriented Spatial Statistics (O2S2), focusing on the problem of kriging prediction in situations where a global second order stationarity assumption for the random field generating the data is not justifiable or the space domain of the field is complex.
A. Menafoglio, D. Pigoli, P. Secchi
openaire +1 more source
We illustrate a fewrecent ideas of Object Oriented Spatial Statistics (O2S2), focusing on the problem of kriging prediction in situations where a global second order stationarity assumption for the random field generating the data is not justifiable or the space domain of the field is complex.
A. Menafoglio, D. Pigoli, P. Secchi
openaire +1 more source
2013
Understanding the characteristics of and possibilities in using geodata is premised on proper comprehension of the underlying concepts of space, time and scale, contextualized within the Earth’s framework. Although these concepts are used in everyday parlance, often without much afterthought, they are not trivial at all.
Awange, Joseph L, Kyalo Kiema, John B
openaire +2 more sources
Understanding the characteristics of and possibilities in using geodata is premised on proper comprehension of the underlying concepts of space, time and scale, contextualized within the Earth’s framework. Although these concepts are used in everyday parlance, often without much afterthought, they are not trivial at all.
Awange, Joseph L, Kyalo Kiema, John B
openaire +2 more sources

