GEOG3025 Geographical referencing and the modifiable areal unit problem.

Slides:



Advertisements
Similar presentations
What are Geographical Information Systems (GIS) & ArcView GIS software? What is a Geographical Information System (GIS)? Introduction to ESRI ArcView 3.x.
Advertisements

The Census Area Statistics Myles Gould Understanding area-level inequality & change.
Mapping and Visualising Census Data Keith Cole Jackie Carter Geo-data forum - 4/4/2001.
Mapping with GIS: When seeing should not always mean believing. Mr Oliver Tomlinson Senior Lecturer in Geographical Sciences School of Education Health.
Zone design methods for epidemiological studies Samantha Cockings, David Martin Department of Geography University of Southampton, UK Thanks to: Arne Poulstrup,
EDINA Digimap’s OS Collection: Boundary Download Vivienne Carr James Crone.
Geographical Information Systems and Science Longley P A, Goodchild M F, Maguire D J, Rhind D W (2001) John Wiley and Sons Ltd 6. Uncertainty © John Wiley.
GeoConvert: Creating that Spatial Relationship David Rawnsley Mimas, University of Manchester.
Modelling Crime: A Spatial Microsimulation Approach Charatdao Kongmuang School of Geography University of Leeds Supervisors Dr. Graham Clarke, Dr. Andrew.
Introduction to GIS Lecture 2: Part 1. Understanding Spatial Data Structures Part 2. Legend editing & choropleth mapping Part 3. Map layouts.
Developing Geographical Information Systems In A Cohort Study Andy Boyd ALSPAC, Social Medicine University of Bristol.
GEOG3025 Multivariate neighbourhood indicators. GEOG3025 Multivariate neighbourhood indicators Lecture overview: Objectives of lecture Introductory questions.
School of Environmental Sciences University of East Anglia
CS 128/ES Lecture 4b1 Spatial Data Formats.
Geog 458: Map Sources and Errors January Representing Geography.
GIS & Spatial Analysis in MCH Ravi K. Sharma, PhD Department of Behavioral & Community Health Sciences, Graduate School of Public Health, University of.
Geographic Information Systems
Geog 458: Map Sources and Errors Uncertainty January 23, 2006.
1 Spatial Databases as Models of Reality Geog 495: GIS database design Reading: NCGIA CC ’90 Unit #10.
David Martin Department of Geography University of Southampton 2001 Census: the emergence of a new geographical framework.
Census.ac.uk Mapping data using ArcGIS Carol Blackwood, UKBORDERS.
Access to UK Census Data for Spatial Analysis: Towards an Integrated Census Support Service John Stillwell 1, Justin Hayes 2, Rob Dymond-Green 2, James.
GIS 2, Final Project: Creating a Dasymetric Map for Two Counties in Minnesota By: Hamidreza Zoraghein Melissa Cushing Caitlin Lee Fall 2013.
@ 2007 Austin Troy. Geoprocessing Introduction to GIS Geoprocessing is the processing of geographic information. Perform spatial analysis and modeling.
Rebecca Boger Earth and Environmental Sciences Brooklyn College.
Census.ac.uk Census Area Statistics and Casweb David Rawnsley Census Dissemination Unit (CDU) Mimas University of Manchester.
Gridded Population Workshop: New York: May 2000 High resolution and local scale: national population surface models from the UK Censuses David Martin Department.
The Spatial Scale of Residential Segregation in Northern Ireland, 1991–2001 Chris Lloyd 1, Ian Shuttleworth 1 and David Martin 2 1 School of Geography,
Nigel James Bodleian Library The Census Accessing and mapping British Census Data.
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, Leslie Morrissey, & Ernie Buford,
GEOG3025 Census and administrative data sources 3: Integration and future development.
GEOG3025 Census and administrative data sources 2: Outputs and access.
Preparing Data for Analysis and Analyzing Spatial Data/ Geoprocessing Class 11 GISG 110.
September 18-19, 2006 – Denver, Colorado Sponsored by the U.S. Department of Housing and Urban Development Using Geographic Information Systems (GIS) as.
Analysing the Impact of MAUP on the March of Atopy in England using Hospital Admission Data Nick Bearman Nicholas J. Osborne & Clive Sabel Associate Research.
Geography and Environment 24/7 Population modelling for natural hazard assessment Alan Smith University of Southampton, UK Colloquium on Spatial Analysis,
GIS Data Structure: an Introduction
TerraPop Vision An organizational and technical framework to preserve, integrate, disseminate, and analyze global-scale spatiotemporal data describing.
GIScience 2000 Raster Data Pixels as Modifiable Areal Units E. Lynn Usery U.S. Geological Survey University of Georgia.
Health Datasets in Spatial Analyses: The General Overview Lukáš MAREK Department of Geoinformatics, Faculty.
Our objectives: We will consider four thematic map types choropleth proportional symbol dot density cartograms understand decisions involved in classifying.
Understanding Geographies Statistics for the Voluntary Sector Alison Peacock Mission Planning Officer Wednesday 8 July 2009.
GEOG3025 Exploratory analysis of neighbourhood data.
New and easier ways of working with aggregate data and geographies from UK censuses Justin Hayes UK Data Service Census Support.
GEOG3025 Census and administrative data 1: Sources and methods.
Tables tables are rows (across) and columns (down) common format in spreadsheets multiple tables linked together create a relational database entity equals.
GEOG3025 Administrative and statistical geographies.
Quality Assurance Programme of the Canadian Census of Population Expert Group Meeting on Population and Housing Censuses Geneva July 7-9, 2010.
Demographic change at small area level Small area statistics to develop public policy Paul Norman School of Geography, University of Leeds ESRC RES
NR 143 Study Overview: part 1 By Austin Troy University of Vermont Using GIS-- Introduction to GIS.
EGM – Population & Housing Censuses Eurostat / UNECE - Geneva - 24/25 May 2012 Building the address register for the 2011 Census (England & Wales) Alistair.
Introduction to GIS Lecture 2: Part 1. Understanding Spatial Data Structures Part 2. Legend editing, choropleth mapping and layouts Part 3. Map layouts.
Characterizing Rural England using GIS Steve Cinderby, Meg Huby, Anne Owen.
3 Analysis Examples from ArcGIS (1) Overlay Analysis - land use & flood zones (2) Interpolation - soil samples on a farm (3) Location Analysis - coffee.
Integrating Geographic Information Systems (GIS) into your Curriculum Teaching American History Meg Merrick & Heather Kaplinger Year 2 GIS Inservices.
Exploiting census workplace data to build a daytime grid map of England and Wales. David Martin, Samantha Cockings, Alan Smith European Forum for Geostatistics,
1 Land accounts in Europe – current state and outlook Land accounts 01/10/2015 Daniel Desaulty
GIS September 27, Announcements Next lecture is on October 18th (read chapters 9 and 10) Next lecture is on October 18th (read chapters 9 and 10)
This chapter talk about:  uncertainty  discusses its principles  cases and the sources of geographic uncertainty  The ways in which they operate in.
GIS and the Built Environment: An Overview Phil Hurvitz UW-CAUP-Urban Form Lab GIS and the Geography of Obesity Workshop August 3, 2005.
Regional DLI Training: Introduction to PCCF St. John’s Newfoundland Berenica Vejvoda May 5-6, 2016.
INTRODUCTION Despite recent advances in spatial analysis in transport, such as the accounting for spatial correlation in accident analysis, important research.
Presenting spatial data Analyst training course – 23 rd June 2014.
GEOG3025 Concepts of neighbourhood. GEOG3025 Concepts of neighbourhood Lecture overview: Objectives of lecture Introductory questions Neighbourhood defintions.
Chapter 2: The Pitfalls and Potential of Spatial Data
Lecture 6 Implementing Spatial Analysis
Zone design methods for epidemiological studies
Spatial Analysis Density Concentration Pattern
Why are Spatial Data Special?
Geodemographic classification schemes
Presentation transcript:

GEOG3025 Geographical referencing and the modifiable areal unit problem

GEOG3025 Geographical referencing and the MAUP Lecture overview: Objectives of lecture Introductory questions Geographical referencing of social data Modifiable areal unit problem Lecture summary

GEOG3025 Objectives To understand that there are multiple options for the geographical referencing of social data To be familiar with the principal datasets and approaches To understand the representational difficulties associated with areal aggregation

GEOG3025 Introductory questions… How do I find out which census area this postcode falls into? What on earth is the modifiable areal unit problem??

Geographical referencing Most commonly points and areas Generally indirect –Census zones –Service delivery districts –Postal geography –Regular grid (esp. from RS modelling) Aggregation from individuals Arbitrary boundary location cf. phenomena of interest (‘imposed’ vs ‘natural’ areal units)

GEOG3025 Point data Precise location hard to determine Usually indirect via home address elements (night-time/day-time) Point pattern valuable, but mostly reflects population distribution Many analysis concepts require aggregation (rates, denominators etc.)

GEOG3025 Increasing spatial resolution Early census data – large zones Smaller zones, service delivery areas GIS manipulation of zonal data Point referencing – indirect and direct Which is the ‘correct’ spatial object for the representation of population-related phenomena?

GEOG3025 Representational issues Spatial representation is a process, not a single technical decision –Decisions ‘frozen’ in conventional cartography –Digital datasets make possible remodelling of the data, and linkage between datasets Possible to think of the same entities as different types of spatial object

As surface Disease incidence As pointsAs linesAs areas What kind of spatial object?

Representation as a process

GEOG3025 Some UK address lists... Postcode Address File (Royal Mail) Council Tax Registers (local government/Valuation Office Agency) National Land and Property Gazetteer (local government/Intelligent Addressing) ADDRESS-POINT (Ordnance Survey)

GEOG3025 Points: address referencing ~25m postal addresses Increasing use of address-level referencing but difficulties achieving national standards (BS7666, Acacia) 2001 census difficulties in Manchester and Westminster – ‘missed’ addresses added to Manchester 2003 mid-year estimate

GEOG3025 Address matching problems… St. Andrews Rd SO17 1BJ Flat 3, 9 Winn Road Caerdydd The Haven, Chalk Dr 1 Church Hill Drive Lawn Place, SE15 Saint Andrew’s Road S017IBJ 9c Winn Road Cardiff 379 Chalk Drive 1 Churchill Drive Haslam Street, SE15

GEOG3025 Ambiguous addresses Photo: Dave Martin

GEOG3025 Lookup tables Giving (population or household weighted) entity-to-entity relationships e.g. postcode to census output area Independent from direct effects of imposed areal unit boundaries May include coordinate references Tools for cross-matching geographies May be generated administratively or analytically

GEOG3025 UK Lookup tables tool

County District Ward Output Area

GEOG3025 Lookup tables… No sliver polygon or spatial mis- matching issues May be the only alternative for modelling change over time for detailed geographies Source of ancillary variable for areal interpolation (e.g. redistribute unemployment pro rata population counts)

GEOG3025 Modifiable areal unit problem Openshaw (1984) Applicable to all imposed areal units Scale and aggregation effects Always impacts on spatial analysis Effects often ignored

GEOG3025 Aggregation Scale MAUP illustrated

GEOG3025 MAUP If we change the boundaries of an areal unit, would we alter the population ‘captured’ to the extent that we would change –Its geodemographic classification –Its position in a deprivation league table

GEOG3025 Ecological fallacy Relationships observed in ecological data would not necessarily hold at other scales of aggregation Relationships observed in ecological data do not necessarily apply at the individual level

GEOG3025 Ecological data issues Are all the people living in a deprived ward ‘deprived’? Are all the people living in a ‘well-off retirees’ neighbourhood either well-off or retired? –Almost certainly not!

GEOG3025 Lecture summary Ambiguity of geographical referencing Different spatial data types Multiple address referencing options Lookup tables, particularly based on postcode geographies Modifiable areal unit and ecological fallacy issues