Arika Ligmann-Zielinska
Biographic Data
| ID | 89616 |
|---|---|
| NAME | Arika Ligmann-Zielinska |
| GIVEN NAMES | Arika |
| FAMILY NAME | Ligmann-Zielinska |
| SIGNATURE | LIGMANN-ZIELINSKA A |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0002-2558-1687 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Effectiveness of Adjacent and Bivariate Maps in Communicating Global Sensitivity Analysis for Geodiversity Assessment
This study compares adjacent and bivariate maps in communicating variance-based global sensitivity analysis (GSA) results for a geodiversity assessment spatial multi-criteria model and examines the influence of prior exposure to geodiversity and map reading skills on interpretation. It analyzes the quality of map interpretation, confidence levels, and map communication effectiveness. The findings indicate that there is no significant difference i…
Examining climate change and food security in Ghana through an intersectional framework
As the effects of climate change intensify, subsistence farmers in Ghana are expected to face increased food insecurity, due to their reliance on rainfed agriculture. Within households, young women are expected to support all aspects of household food security, and will experience a more burdensome load of labor, as a dwindling stock of natural resources will make daily tasks more time consuming. The intersection of age, gender, and location inhi…
One Size Does Not Fit All’
by Arika Ligmann-Zielinska, Peer-Olaf Siebers, Nicholas Magliocca, Dawn C. Parker, Volker Grimm, Jing Du, Martin Cenek, Viktoriia Radchuk, Nazia N. Arbab, Sheng Li, Uta Berger, Rajiv Paudel, Derek T. Robinson, Piotr Jankowski, Li An and Xinyue Ye
Spatial Optimization
Spatial optimization is the use of mathematical and computational approaches to find the best solutions to geographic decision problems under strictly defined conditions. It has been applied in various geographic fields of study including land‐use science, political geography, retailing, natural resource management, transportation, and medical geography. An optimization problem consists of decision variables, objective functions, and constraints.…
Climate-induced migration
The US Dust Bowl of the 1930s (a prolong period of drought experienced in the United States accompanied by severe sand storms) is often described as an abnormal event. However, climate change is likely to increase the frequency and impact of similar occurrences. Because of this, a growing number of scholars have begun to examine multiple facets of climate-induced migration from various disciplinary traditions. Specifically, scholars have called f…
The Complexities of Agent-Based Modeling Output Analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. The complexity of ABMs has risen in stride with advances in computing power and resources, resulting in larger models with complex interactions and learning and whose outputs are often high-dimensional and require sophisticated analytical approaches. Similarly, the i…
Examining climate change and food security in Ghana through an intersectional framework
As the effects of climate change intensify, subsistence farmers in Ghana are expected to face increased food insecurity, due to their reliance on rainfed agriculture. Within households, young women are expected to support all aspects of household food security, and will experience a more burdensome load of labor, as a dwindling stock of natural resources will make daily tasks more time consuming. The intersection of age, gender, and location inhi…
Climate-induced migration
The US Dust Bowl of the 1930s (a prolong period of drought experienced in the United States accompanied by severe sand storms) is often described as an abnormal event. However, climate change is likely to increase the frequency and impact of similar occurrences. Because of this, a growing number of scholars have begun to examine multiple facets of climate-induced migration from various disciplinary traditions. Specifically, scholars have called f…
The Complexities of Agent-Based Modeling Output Analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model practitioners to improve the transparency, replicability, and trust in results derived from ABMs. The complexity of ABMs has risen in stride with advances in computing power and resources, resulting in larger models with complex interactions and learning and whose outputs are often high-dimensional and require sophisticated analytical approaches. Similarly, the i…
Spatial Optimization
Spatial optimization is the use of mathematical and computational approaches to find the best solutions to geographic decision problems under strictly defined conditions. It has been applied in various geographic fields of study including land‐use science, political geography, retailing, natural resource management, transportation, and medical geography. An optimization problem consists of decision variables, objective functions, and constraints.…
Climate-induced migration
The US Dust Bowl of the 1930s (a prolong period of drought experienced in the United States accompanied by severe sand storms) is often described as an abnormal event. However, climate change is likely to increase the frequency and impact of similar occurrences. Because of this, a growing number of scholars have begun to examine multiple facets of climate-induced migration from various disciplinary traditions. Specifically, scholars have called f…
One Size Does Not Fit All’
by Arika Ligmann-Zielinska, Peer-Olaf Siebers, Nicholas Magliocca, Dawn C. Parker, Volker Grimm, Jing Du, Martin Cenek, Viktoriia Radchuk, Nazia N. Arbab, Sheng Li, Uta Berger, Rajiv Paudel, Derek T. Robinson, Piotr Jankowski, Li An and Xinyue Ye
Examining climate change and food security in Ghana through an intersectional framework
As the effects of climate change intensify, subsistence farmers in Ghana are expected to face increased food insecurity, due to their reliance on rainfed agriculture. Within households, young women are expected to support all aspects of household food security, and will experience a more burdensome load of labor, as a dwindling stock of natural resources will make daily tasks more time consuming. The intersection of age, gender, and location inhi…
Effectiveness of Adjacent and Bivariate Maps in Communicating Global Sensitivity Analysis for Geodiversity Assessment
This study compares adjacent and bivariate maps in communicating variance-based global sensitivity analysis (GSA) results for a geodiversity assessment spatial multi-criteria model and examines the influence of prior exposure to geodiversity and map reading skills on interpretation. It analyzes the quality of map interpretation, confidence levels, and map communication effectiveness. The findings indicate that there is no significant difference i…
Computer Science (4 works) · Geography (3 works) · Mathematics (3 works) · Climate change (2 works) · Ecology (2 works) · Psychology (2 works) · Statistics (2 works) · Adjacency list (1 work) · Aggregate (composite (1 work) · Agricultural risk and resilience (1 work)