Results 81 to 90 of about 37,687 (235)

Integrating multiple surveys using state–space models improves inference of population trends for Illinois furbearers

open access: yesWildlife Biology, EarlyView.
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel   +4 more
wiley   +1 more source

Interpolation methods for geographical data: Housing and commercial establishment markets [PDF]

open access: yes
The estimation of commercial property prices in a touristic city can be explored through spatial interpolation methods, but in the presence of small sample sizes, auxiliary stochastic processes that are correlated with the prices of commercial ...
Beatriz Larraz, Jose M. Montero
core  

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China 气候变化下中国大兴安岭漠河地区猞猁潜在适宜区的变化

open access: yesWildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu   +5 more
wiley   +1 more source

Exploratory disease mapping: kriging the spatial risk function from regional count data

open access: yesInternational Journal of Health Geographics, 2004
Background There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface.
Berke Olaf
doaj   +1 more source

Kriging Metamodeling in Simulation: A Review [PDF]

open access: yes
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels.
Kleijnen, J.P.C.
core   +1 more source

Geostatistical interpretation of paleoceanographic data over large ocean basins - Reality and fiction [PDF]

open access: yes, 1998
A promising approach to reconstruct oceanographic scenarios of past time slices is to drive numerical ocean circulation models with sea surface temperatures, salinities, and ice distributions derived from sediment core data.
Hervada-Sala, C.   +3 more
core  

Rising Tides, Falling Harvests: Examining the Effects of Salinity Intrusion on Paddy Production in Vietnam's Mekong Delta

open access: yesJournal of Agricultural Economics, EarlyView.
ABSTRACT Rising sea levels and salinity intrusion increasingly threaten rice farming in Vietnam's Mekong Delta. Using a district‐level panel dataset from 2000 to 2020, this study examines the impacts of salinity on Winter–Spring rice yields and acreage and how farmers adapt to salinity risk.
Huong Nguyen   +3 more
wiley   +1 more source

Ordinary kriging for on-demand average wind interpolation of in-situ wind sensor data

open access: yes, 2009
We have developed a domain agnostic ordinary kriging algorithm accessible via a standards-based service-oriented architecture for sensor networks. We exploit the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards.
Middleton, S.E., Veres, G., Zlatev, Z.
core  

Interpolating point spread function anisotropy

open access: yes, 2012
Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will not benefit ...
Courbin, F., Gentile, M., Meylan, G.
core   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

open access: yesConservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca   +23 more
wiley   +1 more source

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