Joni A Downs
Biographic Data
| ID | 1406621 |
|---|---|
| NAME | Joni A Downs |
| GIVEN NAMES | Joni A |
| FAMILY NAME | Downs |
| SIGNATURE | DOWNS J A |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
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…
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…
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
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…
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…
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…
Computer Science (4 works) · Artificial Intelligence (2 works) · Cartography (2 works) · Environmental Science (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Mathematics (2 works) · Adaptation (eye (1 work) · Artificial neural network (1 work) · Biological dispersal (1 work)