Project Details

Description

A wide range of marine managers and users require access to information on the spatial distribution of species and environmental properties in order to plan strategies and activities on a range of spatial scales. Application areas include, for example, marine spatial planning, conservation planning, and area prioritization in case of environmental disasters. Current development in the Geographic Information System (GIS) technology provides us increasing amount of data and efficient tools to collect and visualize them on thematic maps. However, in many situations of practical interest, especially in marine areas, the available useful data are patchy, sparse or totally missing. In such situations, we need to be able to fuse complementary sources of information, including, e.g., scientific survey and voluntarily collected citizen science data as well as expert information, in order to build useful knowledge for management. To succeed in this, we need novel probabilistic modeling techniques. In this project, we will concentrate on methods i) to fuse information from different kinds of data, including, e.g., survey, voluntarily collected observational and censored data, ii) to fuse expert knowledge with various data sets, and iii) to plan future surveys cost
efficiently.
StatusFinished
Effective start/end date01/01/201531/12/2018

Funding

  • Valtion perusrahoitus/hankkeet: €11,202.28
  • Valtion perusrahoitus/hankkeet: €110,000.00
  • Valtion perusrahoitus/hankkeet
  • Unknown funder

Fields of Science

  • 112 Statistics and probability
  • 1172 Environmental sciences
  • 1181 Ecology, evolutionary biology

Projects

Research Output

  • 13 Article
  • 1 Conference contribution

Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data

Vanhatalo, J., Hartmann, M. & Veneranta, L., Jun 2020, In : Bayesian analysis. 15, 2, p. 415-447 33 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Calibrating expert assessments using hierarchical Gaussian process models

Perälä, T., Vanhatalo, J. & Chrysafi, A., 7 Nov 2019, In : Bayesian analysis. 30 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Index-based approach for estimating vulnerability of Arctic biota to oil spills

Nevalainen, M. K., Vanhatalo, J. & Helle, I., 18 Jun 2019, In : Ecosphere. 10, 6, 24 p., 02766.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Activities

Gaussian processes for population growth models and species distribution models

Jarno Vanhatalo (Speaker)

20 Jun 2018

Activity: Talk or presentation typesOral presentation

University of St Andrews

Jarno Vanhatalo (Visiting researcher)

11 Jun 201821 Jun 2018

Activity: Visiting an external institution typesAcademic visit to other institution

Dobbiaco summer school in probabilistic numerics

Marcelo Hartmann (Participant)

18 Jun 201723 Jun 2017

Activity: Other activity typesOther