Lexical data analysis of popular hiking areas in the Alpine Lakes Wilderness
Document Type
Oral Presentation
Event Website
https://source2022.sched.com/
Start Date
19-5-2022
End Date
19-5-2022
Keywords
spatial data analytics
Abstract
During the COVID19 pandemic public lands felt a massive surge in visitation with people looking for alternative socially-distanced activities. As land managers scrambled to keep up with maintaining these spaces, there was a demand for more efficient ways of understanding problems and making decisions. One solution to this problem is the implementation of spatial data analytics, which can help prioritize department resources to areas of concern. Lexical data provided by recreationalists can efficiently provide valuable information about visitation through use of data analytics software.To demonstrate the value of spatial data analytics in land management, I will be working with lexical survey data from the most well-traveled hiking areas of Alpine Lakes Wilderness. I will identify key words and shared themes of both positive and negative sentiment. By integrating the data with geographical locations I will show areas and features needing special attention.
Recommended Citation
Kelsey, Eileen, "Lexical data analysis of popular hiking areas in the Alpine Lakes Wilderness" (2022). Symposium Of University Research and Creative Expression (SOURCE). 63.
https://digitalcommons.cwu.edu/source/2022/COTS/63
Department/Program
Geography
Additional Mentoring Department
Geography
Additional Mentoring Department
Funding from Central Faculty-Student Provost Research Grants
Lexical data analysis of popular hiking areas in the Alpine Lakes Wilderness
During the COVID19 pandemic public lands felt a massive surge in visitation with people looking for alternative socially-distanced activities. As land managers scrambled to keep up with maintaining these spaces, there was a demand for more efficient ways of understanding problems and making decisions. One solution to this problem is the implementation of spatial data analytics, which can help prioritize department resources to areas of concern. Lexical data provided by recreationalists can efficiently provide valuable information about visitation through use of data analytics software.To demonstrate the value of spatial data analytics in land management, I will be working with lexical survey data from the most well-traveled hiking areas of Alpine Lakes Wilderness. I will identify key words and shared themes of both positive and negative sentiment. By integrating the data with geographical locations I will show areas and features needing special attention.
https://digitalcommons.cwu.edu/source/2022/COTS/63
Faculty Mentor(s)
Jennifer Lipton