A first-order, ratio-based nonparametric separability test for spatiotemporal point processes-Reference-Cited by-同舟云学术

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A first-order, ratio-based nonparametric separability test for spatiotemporal point processes

Published:2017-11-06 Issue:1 Volume:29 Page:e2482
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Fuentes-Santos Isabel¹,González-Manteiga Wenceslao²,Mateu Jorge³

Affiliation:

1. Integrated and Multidisciplinary Marine Research; CSIC; Vigo E-36208 Spain

2. Faculty of Mathematics; Universidade de Santiago de Compostela; Santiago de Compostela E-15282 Spain

3. Department of Mathematics; Universitat Jaume I; Castellón E-12071 Spain

Funder

Ministerio de Ciencia e Innovación

Spanish Ministry of Economy and Competitiveness

Fundación Bancaja

IAP network StUDyS

Federaal Wetenschapsbeleid

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Reference33 articles.

1. A note on testing separability in spatial-temporal marked point processes;Assunçao;Biometrics,2007

2. Spatstat: An R package for analyzing spatial point patterns;Baddeley;Journal of Statistical Software,2005

3. An application of density estimation to geographical epidemiology;Bithell;Statistics in Medicine,1990

4. Prediction of forest fires occurrences with area-level poisson mixed models;Boubeta;Journal of Environmental Management,2015

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1. Non-parametric comparative analysis of the spatiotemporal pattern of human-caused and natural wildfires in Galicia;International Journal of Wildland Fire;2022-12-23

2. Testing the first-order separability hypothesis for spatio-temporal point patterns;Computational Statistics & Data Analysis;2021-09

3. Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area;Spatial Statistics;2021-04

4. Testing similarity between first-order intensities of spatial point processes. A comparative study;Communications in Statistics - Simulation and Computation;2021-03-19

5. Nonparametric First-Order Analysis of Spatial and Spatio-Temporal Point Processes;Springer Proceedings in Mathematics & Statistics;2020

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