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Exploratory analysis of neighbourhood data

Exploratory analysis of neighbourhood data. Census and administrative data. Lecture overview *Change to Census Registration System* Objectives of lecture Introductory questions Exploratory (spatial) data analysis Neighbourhood Statistics CASWEB/CommonGIS.

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Exploratory analysis of neighbourhood data

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  1. Exploratory analysis of neighbourhood data

  2. Census and administrative data • Lecture overview *Change to Census Registration System* Objectives of lecture Introductory questions Exploratory (spatial) data analysis Neighbourhood Statistics CASWEB/CommonGIS

  3. NB: Updated registration system (8 Mar 04)

  4. Special conditions…

  5. Objectives • To review the principles of exploratory data analysis • To examine tools for exploratory spatial analysis of neighbourhood data • (Not using the Neighbourhood Statistics Service) • (Not Using GIS software) • Using CASWEB/CommonGIS

  6. Introductory questions… What is exploratory spatial data analysis? How might it apply to neighbourhood data? Which tools should I use?

  7. NeSS Interactive Mapping

  8. NeSS thematic mapping Owner occupation: wards

  9. NeSS thematic mapping • Conventional choropleth (shaded area) mapping • One variable at a time • Little control over class breaks • No interactivity • No linked plots

  10. Exploratory spatial data analysis • Spatial pattern detection • Hypothesis formulation • Some aspects of spatial model fitting • Specifically: • What makes neighbourhoods different? • Why might these patterns be present? • Can we explain/predict the observed relationships?

  11. Login to Casweb

  12. Select data as usual…

  13. Select ‘Visualisation’ option

  14. Data management philosophy rather than data exploration Sophisticated spatial data manipulation Few statistical and analytical tools Cartographic rather than statistical approach to mapping Less interactivity Rarely offering dynamically linked plots Why not use GIS?

  15. Casweb/CommonGIS tutorial

  16. CommonGIS window Hampshire wards

  17. Calculation of new variables Selecting home ownership (outright, buying)

  18. Interactive thematic mapping Home ownership

  19. Neighbourhood ESDA • Spatial patterns and statistical distributions: • Univariate patterns • Multivariate patterns • EDA focus on level, shape, spread, outliers

  20. CommonGIS display wizard • Select 1 or more variables to visualise • Map(s) and/or chart(s) • Explore spatial distributions and attribute relationships • Linked windows • Interactive data exploration

  21. Linked windows Home ownership vs no car

  22. Alternative visualizations Home ownership vs no car

  23. Cross-classification Home ownership vs no car

  24. Assignment • Run Casweb/CommonGIS • Work through the tutorial • Use a study area bigger than, but containing, your original neighbourhood • Investigate how your neighbourhood fits into the local pattern • Use 1- and 2- variable measures

  25. Lecture summary • Exploratory spatial data analysis • Relevance to understanding the complex pattern of neighbourhood identities • Introduction to the CommonGIS tool for exploring and visualising census data • Assignment

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