Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A63524580" target="_blank" >RIV/70883521:28140/16:63524580 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989592:15310/16:33161727

Výsledek na webu

<a href="https://www.degruyter.com/view/journals/geo/8/1/article-p275.xml?tab_body=pdf-69320" target="_blank" >https://www.degruyter.com/view/journals/geo/8/1/article-p275.xml?tab_body=pdf-69320</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/geo-2016-0023" target="_blank" >10.1515/geo-2016-0023</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)

Popis výsledku v původním jazyce

Kriging is one of the geostatistical techniques for spatial data analysis that is usually used for a modelling of natural phenomena or a creation of digital elevation models. In this paper, we introduce kriging methods in the context of a landslide modelling in time. The proposed procedure, as well as most of the statistical methods, is designed for complete data sets, i.e. the observations at the beginning and the end of the study are available. In order to use all the information from the data and to avoid the loss of information after omitting observations with missing values, the algorithm for imputation of missing data values based on kriging techniques is proposed. The methodology was verified by the landslide modelling in Halenkovice, Czech Republic, during the period from June 2008 to March 2010. The obtained results showed a potential of kriging methods for the landslide modelling.

Název v anglickém jazyce

Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)

Popis výsledku anglicky

Kriging is one of the geostatistical techniques for spatial data analysis that is usually used for a modelling of natural phenomena or a creation of digital elevation models. In this paper, we introduce kriging methods in the context of a landslide modelling in time. The proposed procedure, as well as most of the statistical methods, is designed for complete data sets, i.e. the observations at the beginning and the end of the study are available. In order to use all the information from the data and to avoid the loss of information after omitting observations with missing values, the algorithm for imputation of missing data values based on kriging techniques is proposed. The methodology was verified by the landslide modelling in Halenkovice, Czech Republic, during the period from June 2008 to March 2010. The obtained results showed a potential of kriging methods for the landslide modelling.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/LO1303" target="_blank" >LO1303: Podpora udržitelnosti a rozvoje Centra bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Open Geosciences

ISSN

2391-5447

e-ISSN

—

Svazek periodika

8

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

19

Strana od-do

275-288

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84975745530