Results 101 to 110 of about 7,767 (249)

Integrating properties of soil map delineations into ordinary kriging

, 1998
Stratification of a region based on soil map delineations followed by within-stratum interpolation is sometimes used to combine soil maps and spatial interpolation.
Boucneau, Geert, Van Meirvenne, Marc, Hofman, Georges, Thas, Olivier   +3 more
core   +1 more source

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

Groundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi, Claire Miller, Craig Alexander, Marnie Low, Luc Rock, Wayne Jones   +5 more
wiley   +1 more source

Integrating Spatial Autoregressive Exogenous with Ordinary Kriging for Improved Rainfall Prediction in Java: Enhancing Accuracy with Climate Variables and Spatial Autocorrelation

InPrime
Indonesia is a tropical country with high rainfall influenced by its archipelagic geography and phenomena like El Niño and La Niña. According to the Meteorology, Climatology, and Geophysics Agency (BMKG), La Niña can increase Indonesia's monthly ...
Sandrina Najwa, Dhanti Aurilia Pratiwi, Muhammad Rhafi Ahdian, Ayu Indriani, I Gede Nyoman Mindra, Annisa Nur Falah, Budi Nurani Ruchjana   +6 more
doaj   +1 more source

PENERAPAN METODE ORDINARY KRIGING PADA PENDUGAAN KRIMINALITAS DI KOTA PEKANBARURIAU [PDF]

, 2018
Kriging sebagai analisa geostatistika digunakan dalam menduga suatu nilai dalam titik yang tidak tersampel berdasarkan titik-titik sampel yang berada disekitarnya dengan memperhitungkan korelasi spasial menggunakan suatu pembobot spasial,
R.RIF’A RISMAN
core  

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
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, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

Chemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He, L. Wang, B.L. Gao, C.W. Xu, J.J. Chen   +4 more
doaj   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Conformal prediction for functional Ordinary kriging

Functional Ordinary Kriging is the most widely used method to predict a curve at a given spatial point. However, uncertainty remains an open issue. In this article a distribution-free prediction method based on two different modulation functions and two conformity scores is proposed.
De Magistris, Anna, Diana, Andrea, Romano, Elvira   +2 more
openaire   +2 more sources

Ordinary kriging for function-valued spatial data

Environmental and Ecological Statistics, 2010
In various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor.
Giraldo, R., Delicado Useros, Pedro Francisco, Mateu, J.   +2 more
openaire   +3 more sources

How Accurately Do Species Distribution Models Predict the Expansion of Invasive Insects, and Does Climate Data Choice Matter? Insights From the Invasion of Dryocosmus kuriphilus

Journal of Applied Entomology, EarlyView.
ABSTRACT Species distribution models (SDMs) are widely used to predict the spread of invasive species, yet their accuracy over time and the influence of climate data resolution remain unclear. Here, we examine the capacity of SDMs to predict the distribution and short‐term expansion of the invasive gall wasp Dryocosmus kuriphilus, and compare the ...
José Carlos Pérez‐Girón, Fernando Castedo‐Dorado, María Josefa Lombardero, Pedro Álvarez‐Álvarez   +3 more
wiley   +1 more source