Alex Hagen‐Zanker
Biographic Data
| ID | 6581319 |
|---|---|
| NAME | Alex Hagen‐Zanker |
| GIVEN NAMES | Alex |
| FAMILY NAME | Hagen‐Zanker |
| SIGNATURE | ZANKER A H |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0002-7963-1141 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using a multi‐lens framework for landscape decisions
Landscape decisions are multi‐faceted. Framing landscape decision‐making as a governance process that requires a collective approach can encourage key stakeholders to come together to co‐inform a discussion about their priorities and what constitutes good governance, leading to more holistic landscape decisions. In this paper, we recognise that a suite of complementary and multi‐dimensional approaches are in practice used to inform and evaluate l…
A data-driven framework to manage uncertainty due to limited transferability in urban growth models
The processes of urban growth vary in space and time. There is a lack of model transferability, which means that models estimated for a particular study area and period are not necessarily applicable for other periods and areas. This problem is often addressed through scenario analysis, where scenarios reflect different plausible model realisations based typically on expert consultation. This study proposes a novel framework for data-driven scena…
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation
Cellular Automata (CA) models are widely used to study spatial dynamics of urban growth and evolving patterns of land use. One complication across CA approaches is the relatively short period of data available for calibration, providing sparse information on patterns of change and presenting problematic signal-to-noise ratios. To overcome the problem of short-term calibration, this study investigates a novel approach in which the model is calibra…
Why scale is vital to plan optimal Nature-Based Solutions for resilient cities
A need for multi-functional assessment tools evaluating trade-offs and co-benefits for various types of Nature-Based Solutions (NBS) has been increasingly identified in recent years. Methodologically, concepts for a tool are presented which include quantifying the demand and potential for NBS to enhance ecosystem service (ES) provision, and linking ESs to readily quantifiable and legislatively-relevant environmental quality indicators (EQIs). The…
Equity in job accessibility and environmental quality in a segmented housing market
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Equity in job accessibility and environmental quality in a segmented housing market
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation
Cellular Automata (CA) models are widely used to study spatial dynamics of urban growth and evolving patterns of land use. One complication across CA approaches is the relatively short period of data available for calibration, providing sparse information on patterns of change and presenting problematic signal-to-noise ratios. To overcome the problem of short-term calibration, this study investigates a novel approach in which the model is calibra…
Why scale is vital to plan optimal Nature-Based Solutions for resilient cities
A need for multi-functional assessment tools evaluating trade-offs and co-benefits for various types of Nature-Based Solutions (NBS) has been increasingly identified in recent years. Methodologically, concepts for a tool are presented which include quantifying the demand and potential for NBS to enhance ecosystem service (ES) provision, and linking ESs to readily quantifiable and legislatively-relevant environmental quality indicators (EQIs). The…
A data-driven framework to manage uncertainty due to limited transferability in urban growth models
The processes of urban growth vary in space and time. There is a lack of model transferability, which means that models estimated for a particular study area and period are not necessarily applicable for other periods and areas. This problem is often addressed through scenario analysis, where scenarios reflect different plausible model realisations based typically on expert consultation. This study proposes a novel framework for data-driven scena…
Using a multi‐lens framework for landscape decisions
Landscape decisions are multi‐faceted. Framing landscape decision‐making as a governance process that requires a collective approach can encourage key stakeholders to come together to co‐inform a discussion about their priorities and what constitutes good governance, leading to more holistic landscape decisions. In this paper, we recognise that a suite of complementary and multi‐dimensional approaches are in practice used to inform and evaluate l…
Computer Science (4 works) · Land Use and Ecosystem Services (4 works) · Business (3 works) · Bayesian probability (2 works) · Calibration (2 works) · Ecology (2 works) · Economics (2 works) · Engineering (2 works) · Geography (2 works) · Management science (2 works)