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Geoprocessing, Multi-criteria Analysis, Conflict of
interest and Simulation of Landscape Intervention:
learning topics in Urban Planning, at UFMG – Brazil

      Prof. Ana Clara M. Moura
      Federal University of Minas Gerais - Brazil
      School of Architecture
      Department of Urban Planning
Recently, a new Architecture and Urbanism night course
was created at the Architecture School at the Federal University of
Minas Gerais. Since it emphasizes urban planning, it differs
from the daily course, which has a focus on building project. This
new emphasis makes fundamental that students familiarize
themselves with geoprocessing tools:

present their planning in a georeferenced manner, use
satellite images, treat images with digital imaging
processing for territorial and urban planning, explore
resources from Geographic Information Systems and,
specially, develop analyses and representation models for
urban spaces.
“Urban Planning Workshop: Local Planning Problems”,
discussing issues to a district scale (neighborhood
planning)
120 h/a
Objectives:
- the construction of a conceptual base for studies on landscape,
environment, planning,
- spatial perception;
- training on survey activities;
- storage, treatment, and representation of spatial data;
- tuition on spatial analyses methodology;
- diagnostics, prognostics and propositions of spatial intervention,
with the use of geoprocessing;
- the study of public policies and legislations regimenting urban
settlements, regarding their contexts.
Vale do Sereno district, which is located in a frontier area
between two municipalities: the Minas Gerais state capital
municipality, Belo Horizonte, and the Nova Lima municipality
Reasons for this growth reside in its being the most
economically interesting region for selling real estate within the
Metropolitan Region (Região Metropolitana – RMBH) of Belo
Horizonte, and since urban regulations (presented at the
development plan of Nova Lima) authorize this
intense growth and transformation on the urban
landscape.
Economic Interests – urban growth and mineral resources
Environmental interests – landscape value, water resources and
vegetation cover
Risks of geology / geotechnical conditions
Methodology for Urban Planning, supported by geoprocessing
– Multi-criteria Analyses and Decision Tree

“Instead of simply describing elements and facts, models for
spatial analyses using GIS can describe scenarios and simulate
phenomena, basing on observed tendencies or considerations
on pre-established conditions. GIS is used also to select analyses
variables and in the study of their combinations. These are
attempts to represent reality in a simpler manner, selecting the
most relevant aspects, and seeking information on correlations
and behavior expressed by environmental variables.”
 (Moura, 2007)
Methodology for Urban Planning, supported by geoprocessing
– Multi-criteria Analyses and Decision Tree
First Step - Built of Thematic Analysis
Methodology for Urban Planning, supported by geoprocessing
– Multi-criteria Analyses and Decision Trees

    Environmental Interests    & Urban Growth Interests




             Conflicts of Interests
Vegetation cover         30%
                                      Geology / Geotechnical        12%
                                           Conditions
       Environmental
                                              Declivity            12%
          Interest
       Synthesis Map
                                            Hydrography            23%

                                         Conservation Units        17%

                                               Hilltop             6%
To allocate weights, which demonstrate the relative importance
of each variable to the analyses - an opinion average, for maximizing the
consensus using the Delphi method.
“knowledge driven evaluation” & “data driven evaluation”
Vegetation cover      10%
                     Geology / Geotechnical   6%
                          Conditions
 Urban Expansion
                            Declivity         15%
Interest Syntheses
       Map
                       Residential Density    25%

                       Conservation Units     12%

                     Commerce and services    20%
                           cluster
                          Hydrography         7%

                             Hilltop          5%
Environmental Interests   & Urban Growth Interests
Environmental Interests     & Urban Growth Interests
              Combination Matrix Conflicting Interests
                               C - conflict
       High              Low
                               U - urban settlement
                               A - environmental protection
Low




                               SC - non conflict
                               Us - sustainable urban settlement
                               Ai - environmental protection with
                               investment
High




                               Ui - urban settlement with investment
                               T - potential for change
CONFLICT OF
                                           INTERESTS




conflict
urban settlement
environmental protection
non conflict
sustainable urban settlement
environmental protection with investment
urban settlement with investment
potential for change
Studies on landscape perception as an assistance tool for image
planning

In order to students benefit the most, we used field work,
interviews with the community, and the making of expressive images,
both by hand drawings and digitally altered photographs, capturing
the landscape’s place essence
Conclusions – Urban Zoning Proposals

The drawing and landscape perception field step was important to
slow down the time spent in observing and apprehending landscape,
while the students understood their main characteristics and values,
they could also mature their reflections on their urban zoning
proposals.

The project proposals again face them with geotechnologies, since
we required from them that all processes were undertaken in
tridimensional representations, in a way they could have control
over their project proposals, develop more effective forms of
communication to locals, and simulate their results for prediction
studies.
Conclusions – Urban zoning proposals




                                       ZEIS          ZEOI
                 ZAR
                                       AV. LIGAÇÃO
                                                     ADE
                                                     Parque
              MG030




                         ZHU
Conclusions – Proposed zoning and urban parameters
           simulation
Conclusions – Proposed zoning and urban parameters simulation
Conclusions – Proposed zoning and urban parameters simulation




Next Steps – Text the “City Engine” software – Esri Product
THANK YOU CAGLIARI!!
     Prof. Ana Clara M. Moura
     Federal University of Minas Gerais - Brazil
     School of Architecture
     Department of Urban Planning
     anaclara@ufmg.br
     www.arq.ufmg.br Laboratórios Geoprocessamento

We would like to thank the Fundação de Amparo à Pesquisa no Estado de Minas Gerais
– Fapemig (Research Support Foundation for the State of Minas Gerais) for its financial
support in presenting this work in the meeting.

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Mourão Moura - input2012

  • 1. Geoprocessing, Multi-criteria Analysis, Conflict of interest and Simulation of Landscape Intervention: learning topics in Urban Planning, at UFMG – Brazil Prof. Ana Clara M. Moura Federal University of Minas Gerais - Brazil School of Architecture Department of Urban Planning
  • 2. Recently, a new Architecture and Urbanism night course was created at the Architecture School at the Federal University of Minas Gerais. Since it emphasizes urban planning, it differs from the daily course, which has a focus on building project. This new emphasis makes fundamental that students familiarize themselves with geoprocessing tools: present their planning in a georeferenced manner, use satellite images, treat images with digital imaging processing for territorial and urban planning, explore resources from Geographic Information Systems and, specially, develop analyses and representation models for urban spaces.
  • 3. “Urban Planning Workshop: Local Planning Problems”, discussing issues to a district scale (neighborhood planning) 120 h/a Objectives: - the construction of a conceptual base for studies on landscape, environment, planning, - spatial perception; - training on survey activities; - storage, treatment, and representation of spatial data; - tuition on spatial analyses methodology; - diagnostics, prognostics and propositions of spatial intervention, with the use of geoprocessing; - the study of public policies and legislations regimenting urban settlements, regarding their contexts.
  • 4. Vale do Sereno district, which is located in a frontier area between two municipalities: the Minas Gerais state capital municipality, Belo Horizonte, and the Nova Lima municipality
  • 5. Reasons for this growth reside in its being the most economically interesting region for selling real estate within the Metropolitan Region (Região Metropolitana – RMBH) of Belo Horizonte, and since urban regulations (presented at the development plan of Nova Lima) authorize this intense growth and transformation on the urban landscape.
  • 6. Economic Interests – urban growth and mineral resources
  • 7. Environmental interests – landscape value, water resources and vegetation cover
  • 8. Risks of geology / geotechnical conditions
  • 9. Methodology for Urban Planning, supported by geoprocessing – Multi-criteria Analyses and Decision Tree “Instead of simply describing elements and facts, models for spatial analyses using GIS can describe scenarios and simulate phenomena, basing on observed tendencies or considerations on pre-established conditions. GIS is used also to select analyses variables and in the study of their combinations. These are attempts to represent reality in a simpler manner, selecting the most relevant aspects, and seeking information on correlations and behavior expressed by environmental variables.” (Moura, 2007)
  • 10. Methodology for Urban Planning, supported by geoprocessing – Multi-criteria Analyses and Decision Tree First Step - Built of Thematic Analysis
  • 11. Methodology for Urban Planning, supported by geoprocessing – Multi-criteria Analyses and Decision Trees Environmental Interests & Urban Growth Interests Conflicts of Interests
  • 12. Vegetation cover 30% Geology / Geotechnical 12% Conditions Environmental Declivity 12% Interest Synthesis Map Hydrography 23% Conservation Units 17% Hilltop 6% To allocate weights, which demonstrate the relative importance of each variable to the analyses - an opinion average, for maximizing the consensus using the Delphi method. “knowledge driven evaluation” & “data driven evaluation”
  • 13. Vegetation cover 10% Geology / Geotechnical 6% Conditions Urban Expansion Declivity 15% Interest Syntheses Map Residential Density 25% Conservation Units 12% Commerce and services 20% cluster Hydrography 7% Hilltop 5%
  • 14. Environmental Interests & Urban Growth Interests
  • 15. Environmental Interests & Urban Growth Interests Combination Matrix Conflicting Interests C - conflict High Low U - urban settlement A - environmental protection Low SC - non conflict Us - sustainable urban settlement Ai - environmental protection with investment High Ui - urban settlement with investment T - potential for change
  • 16. CONFLICT OF INTERESTS conflict urban settlement environmental protection non conflict sustainable urban settlement environmental protection with investment urban settlement with investment potential for change
  • 17. Studies on landscape perception as an assistance tool for image planning In order to students benefit the most, we used field work, interviews with the community, and the making of expressive images, both by hand drawings and digitally altered photographs, capturing the landscape’s place essence
  • 18. Conclusions – Urban Zoning Proposals The drawing and landscape perception field step was important to slow down the time spent in observing and apprehending landscape, while the students understood their main characteristics and values, they could also mature their reflections on their urban zoning proposals. The project proposals again face them with geotechnologies, since we required from them that all processes were undertaken in tridimensional representations, in a way they could have control over their project proposals, develop more effective forms of communication to locals, and simulate their results for prediction studies.
  • 19. Conclusions – Urban zoning proposals ZEIS ZEOI ZAR AV. LIGAÇÃO ADE Parque MG030 ZHU
  • 20. Conclusions – Proposed zoning and urban parameters simulation
  • 21. Conclusions – Proposed zoning and urban parameters simulation
  • 22. Conclusions – Proposed zoning and urban parameters simulation Next Steps – Text the “City Engine” software – Esri Product
  • 23. THANK YOU CAGLIARI!! Prof. Ana Clara M. Moura Federal University of Minas Gerais - Brazil School of Architecture Department of Urban Planning anaclara@ufmg.br www.arq.ufmg.br Laboratórios Geoprocessamento We would like to thank the Fundação de Amparo à Pesquisa no Estado de Minas Gerais – Fapemig (Research Support Foundation for the State of Minas Gerais) for its financial support in presenting this work in the meeting.