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Humboldt-Universität zu Berlin - IRI THESys

Prof. Dr. Tobia Lakes

Member
Spatial analyses for human-environmental research

 

  • Spatial analyses and modeling of human-environmental systems
  • Development of land-use scenarios for decision-making
  • Urban areas: health and environmental justice

 

Tobia Lakes is Professor for Applied Geoinformation Science at the Geography Department of Humboldt-Universität zu Berlin. Tobia obtained her doctoral degree at the Technische Universität zu Berlin and her diploma degree in Geography from Rheinische Friedrich-Wilhelms-Universität Bonn. In her research Tobia focuses on spatial analyses and modeling techniques for studying human-environmental systems. The methods she applies are a combination of spatial statistics, GIS analyses, spatio-temporal modeling, machine learning and data integration, such as remote-sensing and qualitative data. Her particular interest is on urban areas, environmental justice, human health and scenarios of land use development for decision-making. Tobia has long research experiences in the area of Berlin and is currently also working in Brazil, Kenia and the Democratic Republic of Congo. Tobia tries to address her research and teaching with integrative approaches from a methodological perspective to contribute to an improved understanding and decision-making of current challenges at the interface between human-environmental systems.

Tobia Lakes is a member of IRI THESys since July 2016.

 

Full list

Selected Publications

Lakes, T.; Burkart, K. (2016): Childhood overweight in Berlin: intra-urban differences and underlying influencing factors, International Journal of Health Geographics, 15, 12. doi: 10.1186/s12942-016-0041-0.

Cheong, Y.L.; Leitao, P.J.; Lakes, T. (2014): Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees, Spatial and Spatio-temporal Epidemiology, 10, 75-84. doi: 10.1016/j.sste.2014.05.002.

Gollnow, F.; Lakes, T. (2014): Policy Change, Land Use, and Agriculture: The case of soy production and cattle ranching in Brazil, 2001-2012, Applied Geography, 44, 203-211. doi: 10.1016/j.apgeog.2014.09.003.

Krüger, C.; Lakes, T. (2014): Bayesian belief networks as a versatile method for assessing uncertainty in land-change modeling, International Journal of Geographical Information Science, 29, 111-131. doi: 10.1080/13658816.2014.949265.

Lakes, T.; Brückner, M.; Krämer, A. (2013): Development of an environmental justice index to determine socio-economic disparities of noise pollution and green space in residential areas in Berlin, Journal for Environmental Planning and Management, 57, 538-556. doi: 10.1080/09640568.2012.755461.

 

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