A nonparametric test of independence between the second-order structure of point patterns and covariates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F25%3A43910330" target="_blank" >RIV/60076658:12220/25:43910330 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:10506265
Result on the web
<a href="https://link.springer.com/article/10.1007/s11222-025-10669-9" target="_blank" >https://link.springer.com/article/10.1007/s11222-025-10669-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11222-025-10669-9" target="_blank" >10.1007/s11222-025-10669-9</a>
Alternative languages
Result language
angličtina
Original language name
A nonparametric test of independence between the second-order structure of point patterns and covariates
Original language description
We introduce a novel nonparametric method for testing the hypothesis of independence between a marked point process with functional marks and a covariate. In a special case, when the functional marks are constructed using the local indicator of spatial association (LISA) functions, it results in testing the second-order intensity reweighted stationarity (SOIRS) hypothesis against a specific alternative that is determined by a chosen covariate. SOIRS is often used as a convenient assumption in analysing point patterns, but a general formal test of the SOIRS hypothesis is not available in the literature. Our simulation experiments indicate that the proposed test performs well both in size and power. The practical application of the proposed methodology is demonstrated using a point pattern of fish locations in a water reservoir, accompanied by four covariates.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Statistics and Computing
ISSN
0960-3174
e-ISSN
1573-1375
Volume of the periodical
35
Issue of the periodical within the volume
133
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
"1–15"
UT code for WoS article
001512303400001
EID of the result in the Scopus database
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