Joni Downs
Biographic Data
| ID | 3729706 |
|---|---|
| NAME | Joni Downs |
| GIVEN NAMES | Joni |
| FAMILY NAME | Downs |
| SIGNATURE | DOWNS J |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0001-7226-2411 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 29 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
Flood risk assessment in Limbe (Cameroon) using a GIS weighed sum method
Location Optimization of Covid-19 Vaccination Sites
The equitable allocation of COVID-19 vaccines is a critical challenge worldwide, given that the pandemic has been disproportionally affecting economically disadvantaged racial and ethnic groups. In the United States, the ongoing implementation efforts at different administrative levels and districts, to some extent, are standing in conflict with commitments to mitigate inequities. In this study, we developed a spatial optimization model to choose…
Machine learning in geography-Past, present, and future
This paper concentrates on the different meanings of machine learning (ML) from its origins to the present and potential future, focusing on contributions within the discipline of geography. Understanding the history of ML is important both for understanding current trends and predicting future applications. The 1950s saw the first idea of ML with the Turing Test, which was described as a 'learning machine' that could acquire information and beco…
Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirming an a priori hypothesis. These methods often fail when applied to newer types of data like moving object data and big data. Moving object data incorporates at least three parts: location, time,…
Measuring and visualizing place-based space-time job accessibility
Poverty as a function of space
Probabilistic potential path trees for visualizing and analyzing vehicle tracking data
Enhancing Habitat Connectivity in Fragmented Landscapes
Roads fragment habitat and pose a variety of threats to wildlife by restricting their physical movements or causing direct mortality. Wildlife crossing structures can mitigate some of these effects by simultaneously connecting fragmented habitat and reducing collisions between animals and traffic. This research develops two classes of spatial models for optimally locating crossing structures in situations where the goal is to connect discrete hab…
Optimizing hurricane disaster relief goods distribution
Over the last few years, hurricane emergencies have been among the most pervasive major disruptions in the United States, particularly in the south-east region of the country. A key aspect of managing hurricane disasters involves logistical planning to facilitate the distribution and transportation of relief goods to populations in need. This study shows how a variant of the capacitated warehouse location model can be used to manage the flow of g…
The Geography of Conflict and Death in Belfast, Northern Ireland
The conflict known as the “Troubles” in Northern Ireland began during the late 1960s and is defined by political and ethno-sectarian violence between state, pro-state, and anti-state forces. Reasons for the conflict are contested and complicated by social, religious, political, and cultural disputes, with much of the debate concerning the victims of violence hardened by competing propaganda-conditioning perspectives. This article introduces a dat…
The Geography of Conflict and Death in Belfast, Northern Ireland
The conflict known as the “Troubles” in Northern Ireland began during the late 1960s and is defined by political and ethno-sectarian violence between state, pro-state, and anti-state forces. Reasons for the conflict are contested and complicated by social, religious, political, and cultural disputes, with much of the debate concerning the victims of violence hardened by competing propaganda-conditioning perspectives. This article introduces a dat…
Optimizing hurricane disaster relief goods distribution
Over the last few years, hurricane emergencies have been among the most pervasive major disruptions in the United States, particularly in the south-east region of the country. A key aspect of managing hurricane disasters involves logistical planning to facilitate the distribution and transportation of relief goods to populations in need. This study shows how a variant of the capacitated warehouse location model can be used to manage the flow of g…
Measuring and visualizing place-based space-time job accessibility
Probabilistic potential path trees for visualizing and analyzing vehicle tracking data
Machine learning in geography-Past, present, and future
This paper concentrates on the different meanings of machine learning (ML) from its origins to the present and potential future, focusing on contributions within the discipline of geography. Understanding the history of ML is important both for understanding current trends and predicting future applications. The 1950s saw the first idea of ML with the Turing Test, which was described as a 'learning machine' that could acquire information and beco…
Enhancing Habitat Connectivity in Fragmented Landscapes
Roads fragment habitat and pose a variety of threats to wildlife by restricting their physical movements or causing direct mortality. Wildlife crossing structures can mitigate some of these effects by simultaneously connecting fragmented habitat and reducing collisions between animals and traffic. This research develops two classes of spatial models for optimally locating crossing structures in situations where the goal is to connect discrete hab…
Poverty as a function of space
The Geography of Conflict and Death in Belfast, Northern Ireland
The conflict known as the “Troubles” in Northern Ireland began during the late 1960s and is defined by political and ethno-sectarian violence between state, pro-state, and anti-state forces. Reasons for the conflict are contested and complicated by social, religious, political, and cultural disputes, with much of the debate concerning the victims of violence hardened by competing propaganda-conditioning perspectives. This article introduces a dat…
Optimizing hurricane disaster relief goods distribution
Over the last few years, hurricane emergencies have been among the most pervasive major disruptions in the United States, particularly in the south-east region of the country. A key aspect of managing hurricane disasters involves logistical planning to facilitate the distribution and transportation of relief goods to populations in need. This study shows how a variant of the capacitated warehouse location model can be used to manage the flow of g…
Probabilistic potential path trees for visualizing and analyzing vehicle tracking data
Enhancing Habitat Connectivity in Fragmented Landscapes
Roads fragment habitat and pose a variety of threats to wildlife by restricting their physical movements or causing direct mortality. Wildlife crossing structures can mitigate some of these effects by simultaneously connecting fragmented habitat and reducing collisions between animals and traffic. This research develops two classes of spatial models for optimally locating crossing structures in situations where the goal is to connect discrete hab…
Measuring and visualizing place-based space-time job accessibility
Poverty as a function of space
Space-Time Hierarchical Clustering for Identifying Clusters in Spatiotemporal Point Data
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirming an a priori hypothesis. These methods often fail when applied to newer types of data like moving object data and big data. Moving object data incorporates at least three parts: location, time,…
Machine learning in geography-Past, present, and future
This paper concentrates on the different meanings of machine learning (ML) from its origins to the present and potential future, focusing on contributions within the discipline of geography. Understanding the history of ML is important both for understanding current trends and predicting future applications. The 1950s saw the first idea of ML with the Turing Test, which was described as a 'learning machine' that could acquire information and beco…
Location Optimization of Covid-19 Vaccination Sites
The equitable allocation of COVID-19 vaccines is a critical challenge worldwide, given that the pandemic has been disproportionally affecting economically disadvantaged racial and ethnic groups. In the United States, the ongoing implementation efforts at different administrative levels and districts, to some extent, are standing in conflict with commitments to mitigate inequities. In this study, we developed a spatial optimization model to choose…
Flood risk assessment in Limbe (Cameroon) using a GIS weighed sum method
Computer Science (8 works) · Geography (7 works) · Artificial Intelligence (4 works) · Human Mobility and Location-Based Analysis (4 works) · Cartography (3 works) · Data mining (3 works) · Environmental planning (3 works) · Environmental Science (3 works) · Mathematics (3 works) · Context (archaeology (2 works)