Results 71 to 80 of about 3,428 (197)
On Spatial Point Processes With Composition‐Valued Marks
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
Rethinking Potential Flood Damage Assessment: A Data‐Driven Alternative to Varnes‐Based Models
ABSTRACT Reducing flood damage is a key challenge for both administrators and communities, particularly in the face of increasing climate‐related impacts. A fundamental prerequisite for effective damage reduction is a detailed understanding of the spatial distribution of territorial susceptibility to flood damage.
Federica Zambrini +4 more
wiley +1 more source
Providing a subsurface reservoir quality maps in oil fields by geostatistical methods
Under study reservoir oilfield is located south-west of Iran. This field is comprised of naturally fractured Asmari and Bangestan formation. Reservoir management and characteristic evaluation of this field requires good knowledge of reservoir rock and ...
Hakimeh Amanipoor
doaj +1 more source
From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania
Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley +1 more source
Alternative geostatistics tools applied to Morroa aquifer modeling (Sucre-Colombia)
In this paper, stochastic simulations and some multiple-point geostatistical principles are developed using a comparative methodology consisting of two phases.
Aníbal Pérez-García +2 more
doaj +1 more source
Bayesian Geostatistical Design
A Bayesian approach is described to the prediction of a spatial surface \(S\) over a region \(A\) using data which consist of imperfect measurements \(Y_i\) at a finite collection of sampling locations \(x_i\): \(\mathbf{E}[Y_i]=S(x_i)\). The retrospective design (in which locations are to be deleted from or added to an existing design) and perspective
Diggle, P, Lophaven, S
openaire +3 more sources
GIS–TOPSIS assessment of soil and water constraints on sunflower in arid Algeria
Abstract Identifying land capable of sustaining oilseed crops under increasing aridity is central to strengthening agricultural resilience in North African drylands. We developed a statistically validated, spatially explicit land‑suitability framework that integrates geographic information systems (GIS) with the technique for order preference by ...
Alia Hosni +5 more
wiley +1 more source
Abstract Sports field surface hardness is spatially and temporally variable, and evidence suggests this variability can influence athlete perceptions, performance, and injury risk. Management strategies addressing within‐field variability, rather than mean hardness alone, are therefore needed.
Conlan M. Burbrink +4 more
wiley +1 more source
The spatial variability of soil and plant properties exerts great influence on the yeld of agricultural crops. This study analyzed the spatial variability of the fertility of a Humic Rhodic Hapludox with Arabic coffee, using principal component analysis,
Samuel de Assis Silva +1 more
doaj +1 more source
Reduced size of larvae and small fish linked to warming and reduced prey density
Body size is an integrative trait that has declined across many ecological assemblages in the last decades. Changes in body size of early life stages and small‐bodied fish are driven by complex interactions between size‐dependent mortality, and temperature‐ and food‐dependent growth, and can have consequences for recruitment to the adult stock and food
Max Lindmark +6 more
wiley +1 more source

