Results 61 to 70 of about 24,889,170 (193)

Graph Representation Learning on Street Networks

ISPRS International Journal of Geo-Information
Street networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs where intersections are modeled as nodes and streets as edges between them.
Mateo Neira, Roberto Murcio
doaj   +1 more source

Risk assessment using spatial prediction model for natural disaster preparedness

, 2005
The spatial mapping of risk is critical in planning for disaster preparedness. An application from a study area affected by mass movements is used as an example to portray the desirable relations between hazard prediction and disaster management. We have
Chung, Chang Jo F., Chung, C.F., Scholten, H.J., Zlatanova, Siyka, Jang, Dong Ho, Zlatanova, S., van Oosterom, Peter, Fabbri, A.G., Fabbri, Andrea G., Scholten, Henk J., Jang, D.H., Fendel, Elfriede M., Fendel, E.M., van Oosterom, P.   +13 more
core   +1 more source

Characterization of the spatial distribution of farming systems in the Kenyan Highlands

, 2009
Land cover change maps are not sufficient to identify subtle changes in land use and farming systems. This paper describes a method that is developed to identify the spatial distribution of farming system types without the need to extensively map all ...
Staal, S.J., Staal, Steven J., van de Steeg, J.A., Verburg, P.H., Verburg, P.H.; id_orcid, Steeg, J.A. van de, Steeg, J.A., Steeg, Jeannette van de, Baltenweck, Isabelle, Baltenweck, I.   +9 more
core   +1 more source

Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets

Big Earth Data
Despite the widespread use of machine learning (ML) models for geospatial applications, adaptations to imbalanced multitemporal land cover (LC) datasets remain underexplored.
Alysha van Duynhoven, Suzana Dragićević   +1 more
doaj   +1 more source

Spatial Pattern and Influencing Factor Analysis of Parcel Lockers in London [PDF]

E3S Web of Conferences
When carriers deliver goods to customers, last-mile delivery is one of the supply chain’s most costly and environmentally damaging components [1].
Kang Xinwei
doaj   +1 more source

Spatial analysis

, 1999
Series: Discussion Papers of the Institute for Economic Geography and ...
Thornton, P.K., Booltink, H.W.G., Stoorvogel, dr ir Jetse   +2 more
openaire   +4 more sources

Spatiotemporal Vegetation Dynamics, Forest Loss, and Recovery: Multidecadal Analysis of the U.S. Triple Crown National Scenic Trail Network

Remote Sensing
The U.S. National Scenic Trail system, encompassing over 12,000 km of hiking trails along the Appalachian Trail (AT), Continental Divide Trail (CDT), and Pacific Crest Trail (PCT), provides critical vegetation corridors that protect diverse forest ...
Amber R. Ignatius, Ashley N. Annis, Casey A. Helton, Alec W. Reeb, Dylan F. Ricke   +4 more
doaj   +1 more source

Wavelet analysis of spatial coherent structures in the photosphere

, 1999
In this work we present some applications of wavelet analysis to the dynamics of the photosphere as obtained from a good serie of high spatial resolution white light images taken at the Vacuum Tower Telescope (VTT) at the NSO/SPO in October 1996. The use
Berrilli, F, Bruno, R, Bavassano, B., PIETROPAOLO, Ermanno, Straus, T, Cauzzi, G, Smaldone, LA, Consolini, G   +7 more
core  

Machine learning algorithms of riverbed change and environments of the Lower Apalachicola River

Discover Applied Sciences
Coastal areas, deltas, and the lower end of large rivers have experienced profound long-term changes, destabilizing the environmental balance over the previous several decades.
Ali R. Alruzuq, Joann Mossa
doaj   +1 more source

STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sea ice forecasting remains a challenging topic due to the complexity of understanding its driving forces and modeling its dynamics. This article contributes to the expanding literature by developing a data-driven, artificial intelligence (AI)-based ...
Sizhe Wang, Wenwen Li, Chia-Yu Hsu
doaj   +1 more source