{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117591"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117591","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Quantifying wildlife diversity using persistent homology","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_has_math":false,"creators":["Gera, Parth"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Industrial Engineering","degree_department":null,"school":null,"contributors":["Sowers, Richard B"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Biodiversity","Persistent Homology","Quantifying","Mathematical Tool"],"languages":["en","eng"],"rights":["Copyright 2022 Parth Gera"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117591","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sowers, Richard B"]},{"key":"dc:creator","label":"Author","values":["Gera, Parth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-12-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biodiversity","Persistent Homology","Quantifying","Mathematical Tool"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Parth Gera"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117591"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","The student, Parth Gera, accepted the attached license on 2022-12-02 at 02:06.","The student, Parth Gera, submitted this Thesis for approval on 2022-12-02 at 02:21.","This Thesis was approved for publication on 2022-12-08 at 13:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18715 on 2023-04-12 at 11:36:35","Biodiversity refers to the variety of life on planet earth across all levels such as genes to ecosystems. We are at a risk of severe habitat loss and extinction in hotspots of biodiversity. This is due to excess human consumption added with the climate change forces. This underlines the need of a mathematical tool to quantify biodiversity in order to analyse the changes in an environment and act accordingly. We present a novel method of a framework based on 0-d persistent homology to quantify biodiversity of a city. This tool computes entropy of a region based on the diversity of wildlife found. The area of the region is computed using the Monte Carlo Method. We quantify diversity through entropy density and extent this tool to fifteen cities in the United States. The barcodes for these are created for a sample of the data and compared to generate actionable insights."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantifying wildlife diversity using persistent homology"]}]}],"canonical_facts":{"dc:contributor":["Sowers, Richard B"],"dc:creator":["Gera, Parth"],"dc:date":["2022-12","2022-12-08"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","The student, Parth Gera, accepted the attached license on 2022-12-02 at 02:06.","The student, Parth Gera, submitted this Thesis for approval on 2022-12-02 at 02:21.","This Thesis was approved for publication on 2022-12-08 at 13:38.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18715 on 2023-04-12 at 11:36:35","Biodiversity refers to the variety of life on planet earth across all levels such as genes to ecosystems. We are at a risk of severe habitat loss and extinction in hotspots of biodiversity. This is due to excess human consumption added with the climate change forces. This underlines the need of a mathematical tool to quantify biodiversity in order to analyse the changes in an environment and act accordingly. We present a novel method of a framework based on 0-d persistent homology to quantify biodiversity of a city. This tool computes entropy of a region based on the diversity of wildlife found. The area of the region is computed using the Monte Carlo Method. We quantify diversity through entropy density and extent this tool to fifteen cities in the United States. The barcodes for these are created for a sample of the data and compared to generate actionable insights."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117591"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Parth Gera"],"dc:subject":["Biodiversity","Persistent Homology","Quantifying","Mathematical Tool"],"dc:title":["Quantifying wildlife diversity using persistent homology"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Industrial Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}