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Data exhibiting spatial point patterns arise in a broad range of applications. Types of two dimensional spatial point data are: tree locations in a forest, disease cases locations in a region and fixation locations of the retina (acquired with an eye-tracker) superimposed on an image or video observed by the subject. Such data also appear in three dimensions. Sunspot locations on the sun’s surface are an example of three dimensional data on the sphere manifold. With modern technologies allowing us to acquire vast amounts of data, the number of applications and the amount of spatial data available is increasing at a rapid pace. The goal of the workshop is to gather some people working or interested by practical, computational, methodological, and/or theoretical aspects of spatial point patterns.

Talks will be given in English and are designed to be accessible to non-experts in spatial statistics. The workshop is open to masters students, PhD students, Post-doctoral fellows, researchers and practitioners interested in analyzing data with spatial point process data. The registration is free but mandatory for planning purposes (see Register).