{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/116276"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/116276","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Digital emulation of ecological systems: modeling a new approach for landscape architecture","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_has_math":false,"creators":["Jiang, Lin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.L.A.","degree_level":"Thesis","degree_discipline":"Landscape Architecture","degree_department":null,"school":null,"contributors":["Hays, David L.","Yang, Wendy"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08","date_published":"2022-08","updated_at":"2026-07-22T22:24:56Z","subjects":["Landscape Architecture","Dynamic","Computational Design","Nature Samples","Parameterization","Ecosystem","Emulation","Celluar Automata","Genetic Algorithm","Green Stormwater Infrastructure"],"languages":["en","eng"],"rights":["Copyright 2022 Lin Jiang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/116276","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hays, David L.","Yang, Wendy"]},{"key":"dc:creator","label":"Author","values":["Jiang, Lin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-08","2022-07-21"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Landscape Architecture"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.L.A."]},{"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":["Landscape Architecture","Dynamic","Computational Design","Nature Samples","Parameterization","Ecosystem","Emulation","Celluar Automata","Genetic Algorithm","Green Stormwater Infrastructure"]}]},{"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 Lin Jiang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/116276"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","The student, Lin Jiang, accepted the attached license on 2022-07-19 at 17:19.","The student, Lin Jiang, submitted this Thesis for approval on 2022-07-19 at 17:35.","This Thesis was approved for publication on 2022-07-21 at 16:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18385 on 2022-11-15 at 18:21:54","The goal of this thesis is to demonstrate an innovative application of dynamic digital modeling to the contemporary practice of landscape architecture. My work questions the persistent use of static (including dynamic-yet-determinate) representations of natural systems when developing and communicating design ideas in typical approaches to landscape architecture. It proposes instead a way to emulate dynamic ecosystems using computer algorithms, an approach that both represents and explores the relationships between human activities and natural environments. This thesis starts by exploring “nature samples” in four formats and contexts. “Nature samples” are representations of nature that are meant to function as natural systems despite their isolated or fragmented condition. The formats/contexts considered are ecosystems in video games, curated nature in natural history museums, isolated ecosystems in idealized space settlements, and closed ecosystems in science-fiction and biospheres. Taking into account various conceptual lenses, such as the Magrathea metaphor, and practical methods, such as object and system simulations in programming techniques and computational algorithms, the thesis then applies lessons from those case studies to the practice of landscape architecture by undertaking three projects of digital ecosystem emulation. Those projects parameterize biotic and abiotic objects and emulate interconnected ecosystems in different landscape architecture design scenarios. The first project illustrates how to test land use plans by emulating the relations between urban development patterns and climate change using cellular automata and surface energy budgeting. The second project explores how to achieve design optimization using evolutionary computing. The third project implements a web tool to parameterize and automate the green infrastructure design process. Based on the three projects, discussions are presented about how current digital tools in landscape architecture lead designers to produce static representations and, alternatively, how integrating the dynamic digital emulation of ecosystems into design workflows can foster more meaningful and impactful results."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Digital emulation of ecological systems: modeling a new approach for landscape architecture"]}]}],"canonical_facts":{"dc:contributor":["Hays, David L.","Yang, Wendy"],"dc:creator":["Jiang, Lin"],"dc:date":["2022-08","2022-07-21"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","The student, Lin Jiang, accepted the attached license on 2022-07-19 at 17:19.","The student, Lin Jiang, submitted this Thesis for approval on 2022-07-19 at 17:35.","This Thesis was approved for publication on 2022-07-21 at 16:00.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18385 on 2022-11-15 at 18:21:54","The goal of this thesis is to demonstrate an innovative application of dynamic digital modeling to the contemporary practice of landscape architecture. My work questions the persistent use of static (including dynamic-yet-determinate) representations of natural systems when developing and communicating design ideas in typical approaches to landscape architecture. It proposes instead a way to emulate dynamic ecosystems using computer algorithms, an approach that both represents and explores the relationships between human activities and natural environments. This thesis starts by exploring “nature samples” in four formats and contexts. “Nature samples” are representations of nature that are meant to function as natural systems despite their isolated or fragmented condition. The formats/contexts considered are ecosystems in video games, curated nature in natural history museums, isolated ecosystems in idealized space settlements, and closed ecosystems in science-fiction and biospheres. Taking into account various conceptual lenses, such as the Magrathea metaphor, and practical methods, such as object and system simulations in programming techniques and computational algorithms, the thesis then applies lessons from those case studies to the practice of landscape architecture by undertaking three projects of digital ecosystem emulation. Those projects parameterize biotic and abiotic objects and emulate interconnected ecosystems in different landscape architecture design scenarios. The first project illustrates how to test land use plans by emulating the relations between urban development patterns and climate change using cellular automata and surface energy budgeting. The second project explores how to achieve design optimization using evolutionary computing. The third project implements a web tool to parameterize and automate the green infrastructure design process. Based on the three projects, discussions are presented about how current digital tools in landscape architecture lead designers to produce static representations and, alternatively, how integrating the dynamic digital emulation of ecosystems into design workflows can foster more meaningful and impactful results."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/116276"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Lin Jiang"],"dc:subject":["Landscape Architecture","Dynamic","Computational Design","Nature Samples","Parameterization","Ecosystem","Emulation","Celluar Automata","Genetic Algorithm","Green Stormwater Infrastructure"],"dc:title":["Digital emulation of ecological systems: modeling a new approach for landscape architecture"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Landscape Architecture"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.L.A."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}