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Land suitability analysis to assess the potential of public open spaces for urban agriculture activities

Bibliographic Details
Main Author: Hernández, Maicol Fernando Camargo
Publication Date: 2020
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/94399
Summary: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Land suitability analysis to assess the potential of public open spaces for urban agriculture activitiesAnalytic Hierarchy processK-Nearest NeighborsMachine LearningMulticriteria Decision AnalysisRandom ForestSensitivity AnalysisSupport Vector MachineUrban AgricultureDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesIn a world increasingly dominated by cities and an accelerated urban sprawl, urban agriculture emerges as an alternative for the continuous stock and food supply that urban population demands. This thesis aimed to identify and evaluate potential available areas in public locations for implementing urban agriculture practices within the urban perimeter of the city of Bogota in Colombia. The methodology was conducted using variables reflecting the physical, environmental and socioeconomic components of the area. Two approaches were implemented to evaluate a land suitability analysis for urban agriculture to alleviate urban poverty by increasing food security and nutrition in the study area. The first approach was based on expert knowledge combining GIS with multicriteria decision making analysis (MCDM) using analytical hierarchical process (AHP) method, estimating that 21% of the study area presents highly suitability conditions for implementing urban agriculture activities. The second approach was developed using supervised machine learning algorithms for classification models based on historical data of the current sites, where urban agriculture activities were being implemented in the city, showing that 18% of the study area is in high suitability conditions for the implementation of urban agriculture activities. Both approaches indicated that the areas of excellent suitability are located in the South and Southwestern parts of the study area, emphasizing its congruence with the areas with the lowest socioeconomic levels in the city. It was found that approximately 2% of the study area has available spaces in public locations with a significant potential for urban agriculture practices. Three projected scenarios were simulated where 10%, 30% and in the most utopic case 50% of these spaces would be used for urban agriculture activities and the vegetable productivity in tons of five of the most popular crops grown was estimated.Meyer, HannaVerstegen, JudithCabral, Pedro da Costa BritoRUNHernández, Maicol Fernando Camargo2020-03-17T12:21:18Z2020-01-312020-01-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/94399TID:202457109enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:44:02Zoai:run.unl.pt:10362/94399Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:15:13.968265Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
title Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
spellingShingle Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
Hernández, Maicol Fernando Camargo
Analytic Hierarchy process
K-Nearest Neighbors
Machine Learning
Multicriteria Decision Analysis
Random Forest
Sensitivity Analysis
Support Vector Machine
Urban Agriculture
title_short Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
title_full Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
title_fullStr Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
title_full_unstemmed Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
title_sort Land suitability analysis to assess the potential of public open spaces for urban agriculture activities
author Hernández, Maicol Fernando Camargo
author_facet Hernández, Maicol Fernando Camargo
author_role author
dc.contributor.none.fl_str_mv Meyer, Hanna
Verstegen, Judith
Cabral, Pedro da Costa Brito
RUN
dc.contributor.author.fl_str_mv Hernández, Maicol Fernando Camargo
dc.subject.por.fl_str_mv Analytic Hierarchy process
K-Nearest Neighbors
Machine Learning
Multicriteria Decision Analysis
Random Forest
Sensitivity Analysis
Support Vector Machine
Urban Agriculture
topic Analytic Hierarchy process
K-Nearest Neighbors
Machine Learning
Multicriteria Decision Analysis
Random Forest
Sensitivity Analysis
Support Vector Machine
Urban Agriculture
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2020
dc.date.none.fl_str_mv 2020-03-17T12:21:18Z
2020-01-31
2020-01-31T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/94399
TID:202457109
url http://hdl.handle.net/10362/94399
identifier_str_mv TID:202457109
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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