Results 51 to 60 of about 4,853,850 (241)

Human pressure, habitat heterogeneity and species traits jointly determine the level of dark diversity in coastal fish communities

Ecography, EarlyView.
Understanding how anthropogenic pressures and environmental gradients shape coastal fish communities is a central question in biogeography and marine conservation. Yet, the set of species expected to occur at a site given ecological conditions but being absent – the so‐called dark diversity – has received far less attention than observed species, even ...
Loïc Sanchez, Jeanne Rolland, Adèle Barroil, Célia Bertrand, Agathe Blandin, Pierre Boissery, Thomas Bockel, Eric Charbonnel, Julie Deter, Régis Hocdé, Florian Holon, Jean‐Baptiste Juhel, Nicolas Loiseau, Bastien Macé, Anthony Maire, Stéphanie Manel, Marie Orblin, Franck Pichot, Jean‐Jacques Riutort, Lola Romant, Rémy Simide, Alice Valentini, Laure Velez, David Mouillot   +23 more
wiley   +1 more source

Spatial Modelling and Prediction Assessment of Soil Iron Using Kriging Interpolation with pH as Auxiliary Information

ISPRS International Journal of Geo-Information, 2017
In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris, Eirini Metaxa, Frantzis Papadopoulos, Maria Papadopoulou   +3 more
doaj   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

APPLICABILITY OF VARIOUS INTERPOLATION APPROACHES FOR HIGH RESOLUTION SPATIAL MAPPING OF CLIMATE DATA IN KOREA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The purpose of this study is to create a new dataset of spatially interpolated monthly climate data for South Korea at high spatial resolution (approximately 30m) by performing various spatio-statistical interpolation and comparing with forecast LDAPS ...
A. Jo, J. Ryu, H. Chung, Y. Choi, S. Jeon   +4 more
doaj   +1 more source

Bias Correction of ERA5 Temperature Across Five Topoclimatic Clusters: A Comparative Evaluation of Four Methods

International Journal of Climatology, EarlyView.
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley   +1 more source

A comprehensive assessment of spatial interpolation methods for the groundwater quality evaluation of Lahore, Punjab, Pakistan

NUST Journal of Engineering Sciences, 2017
Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid, Javed Iqbal, Sher Jamal Khan   +2 more
doaj   +1 more source

Annual Average Daily Traffic Estimation using Co-kriging

The Journal of The Korea Institute of Intelligent Transport Systems, 2013
Annual average daily traffic (AADT) serves the important basic data in transportation sector. Despite of its importance, AADT is estimated through permanent traffic counts (PTC) at limited locations because of constraints in budget and so on. At most of locations, AADT is estimated using short-term traffic counts (STC).
Jung-Ah Ha, Tae-Young Heo, Sei-Chang Oh, Sung-Han Lim   +3 more
openaire   +1 more source

Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy

International Journal of Climatology, EarlyView.
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti, Paolo Fiorucci, Antonello Provenzale   +2 more
wiley   +1 more source

A review of new methodological applications for co-kriging in Earth Sciences

Boletín Geológico y Minero, 2011
Cokriging is the multivariate geostatistical estimator that has also been used for estimating spatial factors (factorial cokriging) and for estimating the local distribution function (indicator cokriging). Nevertheless, we show here the flexibility that cokriging offers by reviewing four new applications: (i) downscaling cokriging for image sharpening ...
E. Pardo-Igúzquiza, M. Chica-Olmo, J. P. Rigol-Sánchez, J. A. Luque-Espinar, V. Rodríguez-Galiano   +4 more
openaire   +1 more source

Statistical Downscaling of Daily Temperature and Precipitation From Regional Climate Models in Complex Mountain Terrain

International Journal of Climatology, EarlyView.
The study provides insights for post‐processing climate model output in complex terrain, useful for climate change impact models. We compared different bias adjustment and downscaling techniques from quantile delta mapping to simple lapse rates. We developed a new spatial downscaling method based on principal components analysis, which showed superior ...
Michael Matiu, Anna Napoli, Alberto Bellin, Dino Zardi, Bruno Majone   +4 more
wiley   +1 more source