Results 41 to 50 of about 440,783 (177)
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 +4 more
wiley +1 more source
METODE ORDINARY KRIGING PADA GEOSTATISTIKA [PDF]
Kriging adalah suatu teknik perhitungan untuk menghitung estimasi dari suatu variabel teregional yang menggunakan pendekatan bahwa data yang dianalisis dianggap sebagai suatu realisasi dari suatu variable acak, dan keseluruhan variable acak yang ...
Nur Alfiana, Anantia
core
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
The Month Precipitation in Jinghe River Basin Considering Data-transformation
The skewness,square-root-transformation,cuberoot-transformation and logarithm transformation of the monthly precipitation which was from the stations throughout Jinghe river basin from 1951 to 2005 was analyzed fistly.Then,the spatial interpolation of ...
LIU Peng1, ZHANG Wan-chang2
doaj
Ordinary kriging approach to predicting long-term particulate matter concentrations in seven major Korean cities [PDF]
Objectives Cohort studies of associations between air pollution and health have used exposure prediction approaches to estimate individual-level concentrations. A common prediction method used in Korean cohort studies is ordinary kriging.
Sun-Young Kim +6 more
doaj +1 more source
Perbandingan Metode Interpolasi Spasial Ordinary Point Kriging dan Ordinary Block Kriging [PDF]
Data spasial pada umumnya berdasarkan peta yang berisikan interpretasi dan proyeksi seluruh fenomena yang berada di bumi. Data spasial diolah dalam Sistem Informasi Geografi (SIG) dan dapat digunakan untuk menjawab beberapa pertanyaan yang berhubungan ...
Susanawati, Dewi
core
Lognormal Ordinary Kriging Metamodel in Simulation Optimization
This paper presents a lognormal ordinary kriging (LOK) metamodel algorithm and its application to optimize a stochastic simulation problem. Kriging models have been developed as an interpolation method in geology. They have been successfully
Berna Dengiz, Muzaffer Balaban
core +1 more source
Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy
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 +2 more
wiley +1 more source
Optimal biased Kriging: Homeogram tapering and applications to geoid undulations in Korea
This article studies the Optimal Biased Kriging (OBK) approach which is an alternative geostatistical method that gives up the unbiasedness condition of Ordinary Kriging (OK) to gain an improved Mean Squared Prediction Error (MSPE).
Schaffrin B., Bae T.-S., Felus Y.
doaj +1 more source
Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil [PDF]
The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil.
Gustavo Mattos Vasques +4 more
doaj +2 more sources

