Tobia Lakes
Biographic Data
| ID | 2012437 |
|---|---|
| NAME | Tobia Lakes |
| GIVEN NAMES | Tobia |
| FAMILY NAME | Lakes |
| SIGNATURE | LAKES T |
| AFFILIATIONS | Humboldt-Universität zu Berlin |
| ORCID | 0000-0001-8443-7899 |
| VERIFIED | Yes |
| TOTAL WORKS | 31 |
| TOTAL CITATIONS | 27 |
| AUTHOR COUNT | 31 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of Covid-19 studies
The triad of host, agent, and environment has become a widely accepted framework for understanding infectious diseases and human health. While modern medicine has traditionally focused on the individual, there is a renewed interest in the role of the environment. Recent studies have shifted from an early-twentieth-century emphasis on individual factors to a broader consideration of contextual factors, including environmental, climatic, and social…
Coupling renewal and sprawl processes on block level to simulate urban residential growth in Berlin
A block-level modeling framework to simulate urban residential growth was proposed. • This framework integrates renewal and sprawl processes in urban residential growth. • The competition between these two processes was considered in the modeling framework. • Berlin's residential area in 2040 was predicted and compared to the urban housing plan. Urban residential growth modeling has attracted a lot of attention from scholars as an essential tool …
Neighborhood-level inequalities and influencing factors of Covid-19 incidence in Berlin based on Bayesian spatial modelling
Numerous studies have explored influencing factors in COVID-19, yet empirical evidence on spatiotemporal dynamics of COVID-19 inequalities concerning both socioeconomic and environmental factors at an intra-urban scale is lacking. This study, therefore, focuses on neighborhood-level spatial inequalities of the COVID-19 incidences in relation to socioeconomic and environmental factors for Berlin-Neukölln, Germany, covering six pandemic periods (Ma…
Reallocating crops raises crop diversity without changes to field boundaries and farm-level crop composition
Higher crop diversity can enhance biodiversity and ecosystem services; however, it remains unclear to what extent and where crop diversity can be increased. We use spatially explicit multiscale optimization to determine potential and attainable crop diversity with field-level land use data for case studies in Brandenburg, Germany. Our model maximizes crop diversity at the landscape scale while reassigning crop types over multiple years to existin…
Towards a comprehensive analysis of agricultural land systems in the EU and US: A critical view on publicly available datasets
Understanding agricultural land systems is paramount to preparing for future transitions under climate change. Systematic quantitative, multi-context analyses of agricultural land systems are a promising way of increasing our understanding but rely on the availability of large-scale and commensurable data. The available data, however, are outcomes of political priorities and processes and thus not neutral windows into agricultural realities. We m…
Exploration of the Covid-19 pandemic at the neighborhood level in an intra-urban setting
The COVID-19 pandemic represents a worldwide threat to health. Since its onset in 2019, the pandemic has proceeded in different phases, which have been shaped by a complex set of influencing factors, including public health and social measures, the emergence of new virus variants, and seasonality. Understanding the development of COVID-19 incidence and its spatiotemporal patterns at a neighborhood level is crucial for local health authorities to …
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
With the recent advances in earth observation technologies, the increasing availability of data from more and more different satellite sensors as well as progress in semi-automated and automated classification techniques enable the (semi-) automated remote monitoring and analysis of large areas. Online platforms such as Google Earth Engine (GEE) bring data-driven techniques to the desktops of researchers while changing workflows and making excess…
Exploring the Spatial Relative Risk of Covid-19 in Berlin-Neukölln
Identifying areas with high and low infection rates can provide important etiological clues. Usually, areas with high and low infection rates are identified by aggregating epidemiological data into geographical units, such as administrative areas. This assumes that the distribution of population numbers, infection rates, and resulting risks is constant across space. This assumption is, however, often false and is commonly known as the modifiable …
Factors that are perceived as supporting or hindering active school travel (AST): Go-along interviews with primary school children and their parents
Children's school journeys can provide a daily source of physical activity, social interaction, and independence. Many studies focus on quantitative analyses of factors influencing active school travel (AST) from an adult-centric perspective. This study analyses children's and adults' perspectives on school travel behaviour and route perceptions using qualitative walking interviews. We conducted 14 go-along interviews with primary school children…
A collective decision-making framework for simulating urban land-use planning: An application of game theory with event-driven actors
Quantitative evidence for leapfrogging in urban growth
Urban growth can take different forms, such as infill, expansion and leapfrog development. Here we focus on leapfrogging, which is characterised as new urban development bypassing vacant land. Analysing a sample of 100 global locations, we study the probability that land cover is converted from non-urban to urban as a function of the minimum distance to existing urban cells. The probability decreases with the distance but in many of the considere…
Exploring Environmental Health Inequalities: A Scientometric Analysis of Global Research Trends (1970–2020)
Environmental health inequalities (EHI), understood as differences in environmental health factors and in health outcomes caused by environmental conditions, are studied by a wide range of disciplines. This results in challenges to both synthesizing key knowledge domains of the field. This study aims to uncover the global research status and trends in EHI research, and to derive a conceptual framework for the underlying mechanisms of EHI. In tota…
How to derive spatial agents: A mixed‐method approach to model an elderly population with scarce data
Information about the spatial patterns of residents is essential, especially when elderly people are involved, as their action range is confined to their residential location. Since knowledge about patterns of elderly people in cities is limited, this paper formulates steps for the initialisation of an agent‐based model, combined with different data sources. The first step is to identify different types of elderly people using cluster analysis, a…
An efficient GIS-based approach for sustainability assessment of urban drinking water consumption patterns: A study in Tabriz city, Iran
On foot or by car: What determines children’s active school travel
Children’s active school travel can provide a daily source of physical activity, yet the number of children walking or biking to school is decreasing worldwide. This study analyses children’s active school travel, its individual, family, socioeconomic and environmental determinants and spatial pattern in Leipzig, Germany. We evaluated the school travel behaviour of 217 eight-year-olds from a prospective birth cohort study called LINA (Lifestyle a…
Simulating Urban Land Expansion in the Context of Land Use Planning in the Abuja City-Region, Nigeria
In the Global South, including the Sub-Saharan African city-regions, the possible future urban expansion patterns may pose a challenge towards improving environmental sustainability. Land use planning strategies and instruments for regulating urban expansion are faced with challenges, including insufficient data availability to offer insights into the possible future urban expansion. This study integrated empirical data derived from Geographic In…
Landscape matters: Insights from the impact of mega-droughts on Colombia's energy transition
Mega-droughts can cause disruption to the affected society sparking a transition. We explore the causes and effects of the 2015−2016 mega-drought in Colombia. Using the multi-level perspective as a framework, we found that the mega-drought sparked an energy transition in Colombia whose dynamics were impacted both by the institutionalization of niches as well as the ability to predict the next drought. We were able to trace, using the current unde…
Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015
Land degradation occurs in all kinds of landscapes over the world, but the drivers of land degradation vary from region to region. Identifying these drivers at the appropriate spatial scale is an essential prerequisite for developing and implementing appropriate area-specific policies. In this study, we investigate nine different driving factors in three categories: human disturbance, water condition, and urbanisation. Using partial order theory …
Regrowing forests contribution to law compliance and carbon storage in private properties of the Brazilian Amazon
The viability of the climate pledges made by Brazil at the COP21 in Paris, 2015, heavily depends on the success of the country policies related to forest governance. Particularly, there are high expectations that the enforcement of the Brazilian Forest Code (BFC) will drive large-scale forest recovery and carbon mitigation. In this study, we quantified the potential role that ongoing forest regeneration may play in offsetting deficits from privat…
Property-level direct and indirect deforestation for soybean production in the Amazon region of Mato Grosso, Brazil
Brazil’s Soy Moratorium solidified the world’s largest traders’ commitment to stop soybean purchases from production areas deforested after July 2006. The aim was to remove deforestation from the soybean supply-chain and halt one of the main drivers of forest loss in the Amazon biome. In this study, we investigated changes in deforestation at the property-level for the period 2004 to 2014. The objective was to examine direct and indirect deforest…
Intraurban development in a city under protracted armed conflict: Patterns and actors in Goma, DR Congo
Urban heat stress: Novel survey suggests health and fitness as future avenue for research and adaptation strategies
Extreme heat has tremendous adverse effects on human health. Heat stress is expected to further increase due to urbanization, an aging population, and global warming. Previous research has identified correlations between extreme heat and mortality. However, the underlying physical, behavioral, environmental, and social risk factors remain largely unknown and comprehensive quantitative investigation on an individual level is lacking. We conducted …
Experiences of inter- and transdisciplinary research – a trajectory of knowledge integration within a large research consortium
Spatial variations and determinants of infant and under-five mortality in Bangladesh
Placing of photos on the internet: Critical analysis of biases on the depictions of France and Afghanistan on FLICKR
Intraurban development in a city under protracted armed conflict: Patterns and actors in Goma, DR Congo
Simulating Urban Land Expansion in the Context of Land Use Planning in the Abuja City-Region, Nigeria
In the Global South, including the Sub-Saharan African city-regions, the possible future urban expansion patterns may pose a challenge towards improving environmental sustainability. Land use planning strategies and instruments for regulating urban expansion are faced with challenges, including insufficient data availability to offer insights into the possible future urban expansion. This study integrated empirical data derived from Geographic In…
Landscape matters: Insights from the impact of mega-droughts on Colombia's energy transition
Mega-droughts can cause disruption to the affected society sparking a transition. We explore the causes and effects of the 2015−2016 mega-drought in Colombia. Using the multi-level perspective as a framework, we found that the mega-drought sparked an energy transition in Colombia whose dynamics were impacted both by the institutionalization of niches as well as the ability to predict the next drought. We were able to trace, using the current unde…
Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015
Land degradation occurs in all kinds of landscapes over the world, but the drivers of land degradation vary from region to region. Identifying these drivers at the appropriate spatial scale is an essential prerequisite for developing and implementing appropriate area-specific policies. In this study, we investigate nine different driving factors in three categories: human disturbance, water condition, and urbanisation. Using partial order theory …
Property-level direct and indirect deforestation for soybean production in the Amazon region of Mato Grosso, Brazil
Brazil’s Soy Moratorium solidified the world’s largest traders’ commitment to stop soybean purchases from production areas deforested after July 2006. The aim was to remove deforestation from the soybean supply-chain and halt one of the main drivers of forest loss in the Amazon biome. In this study, we investigated changes in deforestation at the property-level for the period 2004 to 2014. The objective was to examine direct and indirect deforest…
Mapping Urban Malaria and Diarrhea Mortality in Accra, Ghana: Evidence of Vulnerabilities and Implications for Urban Health Policy
Towards a comprehensive analysis of agricultural land systems in the EU and US: A critical view on publicly available datasets
Understanding agricultural land systems is paramount to preparing for future transitions under climate change. Systematic quantitative, multi-context analyses of agricultural land systems are a promising way of increasing our understanding but rely on the availability of large-scale and commensurable data. The available data, however, are outcomes of political priorities and processes and thus not neutral windows into agricultural realities. We m…
Factors that are perceived as supporting or hindering active school travel (AST): Go-along interviews with primary school children and their parents
Children's school journeys can provide a daily source of physical activity, social interaction, and independence. Many studies focus on quantitative analyses of factors influencing active school travel (AST) from an adult-centric perspective. This study analyses children's and adults' perspectives on school travel behaviour and route perceptions using qualitative walking interviews. We conducted 14 go-along interviews with primary school children…
On foot or by car: What determines children’s active school travel
Children’s active school travel can provide a daily source of physical activity, yet the number of children walking or biking to school is decreasing worldwide. This study analyses children’s active school travel, its individual, family, socioeconomic and environmental determinants and spatial pattern in Leipzig, Germany. We evaluated the school travel behaviour of 217 eight-year-olds from a prospective birth cohort study called LINA (Lifestyle a…
Regrowing forests contribution to law compliance and carbon storage in private properties of the Brazilian Amazon
The viability of the climate pledges made by Brazil at the COP21 in Paris, 2015, heavily depends on the success of the country policies related to forest governance. Particularly, there are high expectations that the enforcement of the Brazilian Forest Code (BFC) will drive large-scale forest recovery and carbon mitigation. In this study, we quantified the potential role that ongoing forest regeneration may play in offsetting deficits from privat…
Spatial variations and determinants of infant and under-five mortality in Bangladesh
Placing of photos on the internet: Critical analysis of biases on the depictions of France and Afghanistan on FLICKR
Mental health in the slums of Dhaka - a geoepidemiological study
Factors determining mental well-being were related to the socio-physical environment and individual level characteristics. Given that mental well-being is associated with physiological well-being, our study may provide crucial information for developing better health care and disease prevention programmes in slums of Dhaka and other comparable settings
Mapping Urban Malaria and Diarrhea Mortality in Accra, Ghana: Evidence of Vulnerabilities and Implications for Urban Health Policy
Assessing Weather Effects on Dengue Disease in Malaysia
The number of dengue cases has been increasing on a global level in recent years, and particularly so in Malaysia, yet little is known about the effects of weather for identifying the short-term risk of dengue for the population. The aim of this paper is to estimate the weather effects on dengue disease accounting for non-linear temporal effects in Selangor, Kuala Lumpur and Putrajaya, Malaysia, from 2008 to 2010. We selected the weather paramete…
Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic
The study examines spatial patterns of effects of high temperature extremes on cardiovascular mortality in the Czech Republic at a district level during 1994-2009. Daily baseline mortality for each district was determined using a single location-stratified generalized additive model. Mean relative deviations of mortality from the baseline were calculated on days exceeding the 90th percentile of mean daily temperature in summer, and they were corr…
Spatiotemporal analysis of dengue fever in Nepal from 2010 to 2014
This study assessed and mapped for the first time the spatiotemporal pattern of dengue fever in Nepal. Two districts namely Chitwan and Jhapa were found highly affected by dengue fever. The current study also demonstrated the importance of geospatial approach in epidemiological research. The initial result on dengue patterns and risk of this study may assist institutions and policy makers to develop better preventive strategies
Urban heat stress: Novel survey suggests health and fitness as future avenue for research and adaptation strategies
Extreme heat has tremendous adverse effects on human health. Heat stress is expected to further increase due to urbanization, an aging population, and global warming. Previous research has identified correlations between extreme heat and mortality. However, the underlying physical, behavioral, environmental, and social risk factors remain largely unknown and comprehensive quantitative investigation on an individual level is lacking. We conducted …
Experiences of inter- and transdisciplinary research – a trajectory of knowledge integration within a large research consortium
Spatial variations and determinants of infant and under-five mortality in Bangladesh
Placing of photos on the internet: Critical analysis of biases on the depictions of France and Afghanistan on FLICKR
Inter- and transdisciplinary scenario construction to explore future land-use options in southern Amazonia
Schönenberg, R., R. Schaldach, T. Lakes, J. Göpel, and F. Gollnow. 2017. Inter- and transdisciplinary scenario construction to explore future land-use options in southern Amazonia. Ecology and Society 22(3):13. https://doi.org/10.5751/ES-09032-220313
Property-level direct and indirect deforestation for soybean production in the Amazon region of Mato Grosso, Brazil
Brazil’s Soy Moratorium solidified the world’s largest traders’ commitment to stop soybean purchases from production areas deforested after July 2006. The aim was to remove deforestation from the soybean supply-chain and halt one of the main drivers of forest loss in the Amazon biome. In this study, we investigated changes in deforestation at the property-level for the period 2004 to 2014. The objective was to examine direct and indirect deforest…
Intraurban development in a city under protracted armed conflict: Patterns and actors in Goma, DR Congo
Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015
Land degradation occurs in all kinds of landscapes over the world, but the drivers of land degradation vary from region to region. Identifying these drivers at the appropriate spatial scale is an essential prerequisite for developing and implementing appropriate area-specific policies. In this study, we investigate nine different driving factors in three categories: human disturbance, water condition, and urbanisation. Using partial order theory …
Regrowing forests contribution to law compliance and carbon storage in private properties of the Brazilian Amazon
The viability of the climate pledges made by Brazil at the COP21 in Paris, 2015, heavily depends on the success of the country policies related to forest governance. Particularly, there are high expectations that the enforcement of the Brazilian Forest Code (BFC) will drive large-scale forest recovery and carbon mitigation. In this study, we quantified the potential role that ongoing forest regeneration may play in offsetting deficits from privat…
Simulating Urban Land Expansion in the Context of Land Use Planning in the Abuja City-Region, Nigeria
In the Global South, including the Sub-Saharan African city-regions, the possible future urban expansion patterns may pose a challenge towards improving environmental sustainability. Land use planning strategies and instruments for regulating urban expansion are faced with challenges, including insufficient data availability to offer insights into the possible future urban expansion. This study integrated empirical data derived from Geographic In…
Landscape matters: Insights from the impact of mega-droughts on Colombia's energy transition
Mega-droughts can cause disruption to the affected society sparking a transition. We explore the causes and effects of the 2015−2016 mega-drought in Colombia. Using the multi-level perspective as a framework, we found that the mega-drought sparked an energy transition in Colombia whose dynamics were impacted both by the institutionalization of niches as well as the ability to predict the next drought. We were able to trace, using the current unde…
An efficient GIS-based approach for sustainability assessment of urban drinking water consumption patterns: A study in Tabriz city, Iran
On foot or by car: What determines children’s active school travel
Children’s active school travel can provide a daily source of physical activity, yet the number of children walking or biking to school is decreasing worldwide. This study analyses children’s active school travel, its individual, family, socioeconomic and environmental determinants and spatial pattern in Leipzig, Germany. We evaluated the school travel behaviour of 217 eight-year-olds from a prospective birth cohort study called LINA (Lifestyle a…
A collective decision-making framework for simulating urban land-use planning: An application of game theory with event-driven actors
Quantitative evidence for leapfrogging in urban growth
Urban growth can take different forms, such as infill, expansion and leapfrog development. Here we focus on leapfrogging, which is characterised as new urban development bypassing vacant land. Analysing a sample of 100 global locations, we study the probability that land cover is converted from non-urban to urban as a function of the minimum distance to existing urban cells. The probability decreases with the distance but in many of the considere…
Exploring Environmental Health Inequalities: A Scientometric Analysis of Global Research Trends (1970–2020)
Environmental health inequalities (EHI), understood as differences in environmental health factors and in health outcomes caused by environmental conditions, are studied by a wide range of disciplines. This results in challenges to both synthesizing key knowledge domains of the field. This study aims to uncover the global research status and trends in EHI research, and to derive a conceptual framework for the underlying mechanisms of EHI. In tota…
How to derive spatial agents: A mixed‐method approach to model an elderly population with scarce data
Information about the spatial patterns of residents is essential, especially when elderly people are involved, as their action range is confined to their residential location. Since knowledge about patterns of elderly people in cities is limited, this paper formulates steps for the initialisation of an agent‐based model, combined with different data sources. The first step is to identify different types of elderly people using cluster analysis, a…
Exploration of the Covid-19 pandemic at the neighborhood level in an intra-urban setting
The COVID-19 pandemic represents a worldwide threat to health. Since its onset in 2019, the pandemic has proceeded in different phases, which have been shaped by a complex set of influencing factors, including public health and social measures, the emergence of new virus variants, and seasonality. Understanding the development of COVID-19 incidence and its spatiotemporal patterns at a neighborhood level is crucial for local health authorities to …
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
With the recent advances in earth observation technologies, the increasing availability of data from more and more different satellite sensors as well as progress in semi-automated and automated classification techniques enable the (semi-) automated remote monitoring and analysis of large areas. Online platforms such as Google Earth Engine (GEE) bring data-driven techniques to the desktops of researchers while changing workflows and making excess…
Exploring the Spatial Relative Risk of Covid-19 in Berlin-Neukölln
Identifying areas with high and low infection rates can provide important etiological clues. Usually, areas with high and low infection rates are identified by aggregating epidemiological data into geographical units, such as administrative areas. This assumes that the distribution of population numbers, infection rates, and resulting risks is constant across space. This assumption is, however, often false and is commonly known as the modifiable …
Geography (26 works) · Environmental health (12 works) · Environmental Science (11 works) · Medicine (11 works) · Land Use and Ecosystem Services (8 works) · Population (8 works) · Computer Science (7 works) · Land use (7 works) · Ecology (6 works) · Economics (6 works)