ABSTRACT Hydrologic science lacks a comprehensive theory of stormflow generation, preventing the development of a general hydrologic model. Studies show that models focusing on dominant local processes often outperform general models that rely on parameter tuning, leading to higher confidence solutions.
Fred L. Ogden +20 more
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A long-term dataset of maize phenology observations from agrometeorological stations in Northeast China (1981-2024). [PDF]
Zhang QJ, Wu DL, Zhu YC, Liu C, Yang DS.
europepmc +1 more source
Spatially explicit prediction of Nepal's forest biomass stocks, a data-driven bioregionalisation and machine learning approach. [PDF]
Khanal S, Nolan RH, Medlyn BE, Boer MM.
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A comprehensive county-level distribution database of alien and invasive plants in China. [PDF]
Yang Y +5 more
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Near-surface geophysical and sedimentological analyses for the lower havel inner delta - a dataset of the floodplain lithostratigraphy. [PDF]
Köhler A +7 more
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EcoDrug PLUS: an advanced database for drug target conservation analysis and environmental risk assessment. [PDF]
Legehar A +8 more
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Assessing the use of geospatial data for immunization program implementation and associated effects on coverage and equity in the Democratic Republic of Congo. [PDF]
Ngo-Bebe D +10 more
europepmc +1 more source
Holistic data management for georeferenced railway and road infrastructure data
Shankar, Sangeetha +2 more
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Interactive Visualization of Trivariate Georeferenced Data
Journal of Information and Data Management, 2018This paper describes an online interactive thematic map for simultaneously visualizing up to three scalar variables and which supports data filtering, panning and zooming in levels of detail. The visual encoding of the map mixes the use of colors and textures as well as simple operations like border detection and intersection identification.
Tarsus Magnus Pinheiro +1 more
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Visualizing Georeferenced Data: Representing Reliability of Health Statistics
Environment and Planning A: Economy and Space, 1998The power of human vision to synthesize information and recognize pattern is fundamental to the success of visualization as a scientific method. This same power can mislead investigators who use visualization to explore georeferenced data—if data reliability is not addressed directly in the visualization process. Here, we apply an integrated cognitive-
A M MacEachren, C A Brewer, L W Pickle
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