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GEOG3025 Exploratory analysis of neighbourhood data.

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Presentation on theme: "GEOG3025 Exploratory analysis of neighbourhood data."— Presentation transcript:

1 GEOG3025 Exploratory analysis of neighbourhood data

2 GEOG3025 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 GEOG3025 NB: Updated registration system (8 Mar 04)

4 GEOG3025 Special conditions…

5 GEOG3025 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 GEOG3025 Introductory questions… What is exploratory spatial data analysis? How might it apply to neighbourhood data? Which tools should I use?

7 GEOG3025 NeSS Interactive Mapping

8 GEOG3025 NeSS thematic mapping Owner occupation: wards

9 GEOG3025 NeSS thematic mapping Conventional choropleth (shaded area) mapping One variable at a time Little control over class breaks No interactivity No linked plots

10 GEOG3025 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 GEOG3025 Login to Casweb

12 GEOG3025 Select data as usual…

13 GEOG3025 Select ‘Visualisation’ option

14 GEOG3025 Why not use GIS? 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

15 GEOG3025 Casweb/CommonGIS tutorial

16 GEOG3025 CommonGIS window Hampshire wards

17 GEOG3025 Calculation of new variables Selecting home ownership (outright, buying)

18 GEOG3025 Interactive thematic mapping Home ownership

19 GEOG3025 Neighbourhood ESDA Spatial patterns and statistical distributions: –Univariate patterns –Multivariate patterns EDA focus on level, shape, spread, outliers

20 GEOG3025 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 GEOG3025 Linked windows Home ownership vs no car

22 GEOG3025 Alternative visualizations Home ownership vs no car

23 GEOG3025 Cross-classification Home ownership vs no car

24 GEOG3025 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 GEOG3025 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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