Digital Planning - Spatial and Policy Analysis

PLAN60761 Digital Planning - Spatial and Policy Analysis 15 Semester 1 Postgraduate Taught Level 6 Nuno Pinto Unit coordinator Planning, Property and Environmental Management 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 Evidence-based policy-making is central to contemporary spatial and policy analysis. The consolidation of Geographical Information Systems (GIS) as widely used tools for data management and advanced analysis via intensive use of data and methods to process and map this data have changed the focus of traditional spatial analysis towards a fully fledge use of digital tools. Spatial and policy analysis knowledge and methods, supported by digital tools, is a central set of knowledge and skills for professionals in urban planning and policy related areas. Acknowledging the ongoing significant shift in the UK and worldwide urban agendas towards a comprehensive digital approach to planning and policy design and monitoring, the course addresses basic and complex issues and delivers an essential toolkit for graduates to be effective professionals in providing robust, intelligible and accessible evidence for all domains of spatial and policy analysis. Evidence-based policy-making is central to contemporary spatial and policy analysis. The consolidation of Geographical Information Systems (GIS) as widely used tools for data management and advanced analysis via intensive use of data and methods to process and map this data have changed the focus of traditional spatial analysis towards a fully fledge use of digital tools. Spatial and policy analysis knowledge and methods, supported by digital tools, is a central set of knowledge and skills for professionals in urban planning and policy related areas. Acknowledging the ongoing significant shift in the UK and worldwide urban agendas towards a comprehensive digital approach to planning and policy design and monitoring, the course addresses basic and complex issues and delivers an essential toolkit for graduates to be effective professionals in providing robust, intelligible and accessible evidence for all domains of spatial and policy analysis. This first semester module seeks to provide students with a coherent guide to the variety of methods and techniques employed in analysing contemporary urban issues and spatial and policy outcomes and impacts. The content of the course unit includes the following four main blocks:<ul><li>Basic principles of spatial analysis</li><li>Using indicators in spatial policy analysis and monitoring</li><li>Spatial Analysis Applied: Monitoring Area Structure and Area Change</li><li>Introduction to GIS, spatial queries, geovisualisation and geoprocessing<ul><li>Spatial queries and geovisualisation</li><li>Spatial statistics</li><li>Interaction data and geovisualisation</li><li>Coding for spatial analysis</li></ul></li></ul> The course unit has the following aims:<ul> <li>To enhance the understanding of trends, relationships and spatial patterns of development and to in order to provide a context for policy-making;</li> <li>To present various methodologies of spatial analysis used to carry out spatial policy monitoring and evaluation to assess the outputs and outcomes of policy action;</li> <li>To make use of databases and information technology to analyse and present analytical findings;</li> <li>To encourage students think critically about (spatial) data, different forms of analysis, and presentation techniques with regard to data and analytical findings.</li></ul> At the end of this unit, students should: <ul> <li>Introducing students to the range of techniques and methods used to analyse, monitor and evaluate spatial policy issues and actions;</li> <li>Providing students with the knowledge and skills needed to understand and apply these techniques and methods in theory and practice;</li></ul> <ul> <li>Have a critical opinion about the use of advanced quantitative tools in urban planning and policy analysis;</li> <li>Understand the potential and limitations of using quantitative methods in urban planning and policy analysis;</li> <li>Demonstrate an understanding of the principles of spatial data analysis and its use in supporting spatial policy issues and actions </li></ul> <ul> <li>Data collection and management skills;</li> <li>Use a range of IT resources to obtain, analyse and present information;</li> <li>Use of spreadsheets and GIS to present information in a professional manner;</li> <li>Competency in reporting data analyses to support policy and planning processes;</li></ul>  <ul><li>Use of different spatial analyses methods to develop evidence-based analysis to support policy design and monitoring in the context of both PPEM course units and the professional practice </li></ul> Harris R. Quantitative Geography: The Basics. Sage Publications; 2016.Wong C. Indicators for Urban and Regional Planning: The Interplay of Policy and Methods. Vol The RTPI library series. Routledge; 2006.E. Innes J, Booher DE. Indicators for Sustainable Communities: A Strategy Building on Complexity Theory and Distributed Intelligence. Planning Theory & Practice. 2000;1(2):173-186. doi:10.1080/14649350020008378Kirk A. Data Visualisation: a Handbook for Data Driven Design. SAGE; 2016. The course will have synchronous lectures, some asynchronous lectures, some support readings and many activities that will be subsequently discussed in in-class synchronous discussion sessions. This module will be delivered through a combination of teaching methods with a strong emphasis on the importance of hands-on experience and small group learning.  The teaching will be largely based on introductory lectures and practical workshops that will be taken by students independently, with a follow-up QA session to consolidate that knowledge.  Short lectures will be used to introduce the concepts and principles that underpin each method and technique. This will be complemented by workshops to provide students with the first-hand experience of carrying out data collection and analysis tasks.  There will be a strong connection between the different components taught in the module and the individual and project work. These will involve the cumulative collection, analysis and presentation of data and findings throughout the course. 0 Other 100% <table class="MsoTableGrid" style="border-collapse:collapse; border:none"> <tbody> <tr> <td style="border-bottom:1px solid black; width:152px; padding:0cm 7px 0cm 7px; border-top:1px solid black; border-right:1px solid black; border-left:1px solid black" valign="top">Assessment task</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:1px solid black; border-right:1px solid black; border-left:none" valign="top">Length</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:1px solid black; border-right:1px solid black; border-left:none" valign="top">Weighting within unit (if relevant)</td> </tr> <tr> <td style="border-bottom:1px solid black; width:152px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">Formative Assignment Conceptual map about one topic of choice of the student, in preparation for both Assignment 1 and Assignment 2</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">Individual work: conceptual one A4 page map</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">0%</td> </tr> <tr> <td style="border-bottom:1px solid black; width:152px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">Assignment 1 GIS Scenario Exercise: initial data and mapping skills</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">Individual assignment: 900-word report</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">30%</td> </tr> <tr> <td style="border-bottom:1px solid black; width:152px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">Assignment 2 Understanding Spatial and Socio-Economic Change in Greater Manchester: individual chapters on a specific domain</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">Individual assignment: 1800-word report.</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">60%</td> </tr> <tr> <td style="border-bottom:1px solid black; width:152px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:1px solid black" valign="top">Assignment 3 Understanding Spatial and Socio-Economic Change in Greater Manchester: group report about a local authority in GM</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">Group report:1000 words (200 words per group member)</td> <td style="border-bottom:1px solid black; width:151px; padding:0cm 7px 0cm 7px; border-top:none; border-right:1px solid black; border-left:none" valign="top">10%</td> </tr> </tbody></table> Formative feedback (oral in class,) Summative feedback (written in submission platform, 15 working days)   MSc Planning FT MSc Planning FT PGDT Taught Component Mandatory MSc Planning PT MSc Planning PT PGDT Taught Component Mandatory MSc Urban Regen and Develop MSc Urban Regen & Develop PGDT Taught Component Mandatory MSc Urban Regen and Develop MSc Urban Regen & Develop PGDT Taught Component Mandatory N Carley, M. (1980) Rational Techniques in Policy Analysis: Heinemann Educational Books, LondonDavies, H. (1995) Demographic Projection Techniques for Regions and Small Areas: A Primer UBC Press, Vancouver.Field, B. and MacGregor, B. (1987) Forecasting Techniques for Urban and Regional Planning, Hutchinson, London.Hambleton, R. and Thomas, H. (1995) Urban Policy Evaluation: Challenge and Change, Chapman, London.Innes, J. E. (1990) Knowledge and Public Policy: the Search of Meaningful Indicators, New Brunswick, NJ: Transaction Publishers.ODPM (2006) A Framework for City Regions, ODPM (now DCLG), London.(http://www.communities.gov.uk/pub/588/AFrameworkforCityRegionsResearchReportPDF814Kb_id1163588.pdf)ODPM (2006) State of the English Cities, ODPM (now DCLG), London.(http://www.communities.gov.uk/index.asp?id=1127498)RTPI (2006) Uniting Britain: The evidence base - spatial structure and key drivers, RTPI, London(http://www.rtpi.org.uk/resources/publications/spatial.html)Wong, C. (2006) Indicators for Urban and Regional Planning: The Interplay of Policy and Methods, Routledge, London.Wong, C., Baker, M., Webb, B., Hincks, S. and Schultze-Baing, A. (2015) ‘Mapping policies and programmes: the use of GIS to communicate spatial relationships in England’ Environment and Planning B. Lectures 11 Practical classes & workshops 22 0 117