1Session 7 – Exploring and Mapping Social Landscape of London(Basic Geostatistics and Thematic Mapping with QGIS and GeoDa)Objectives: To develop skills of Geostatistics and Thematic Mapping through QGIS andGeoDa functionalities.Task 1: Exploring Health Data across London BoroughsProblem solving: Initially reveal spatial pattern of public health in LondonFunctionality: Basic Geostatistics in GeoDaData set: Health variables by … Continue reading “Mapping Social Landscape of London | My Assignment Tutor”
1Session 7 – Exploring and Mapping Social Landscape of London(Basic Geostatistics and Thematic Mapping with QGIS and GeoDa)Objectives: To develop skills of Geostatistics and Thematic Mapping through QGIS andGeoDa functionalities.Task 1: Exploring Health Data across London BoroughsProblem solving: Initially reveal spatial pattern of public health in LondonFunctionality: Basic Geostatistics in GeoDaData set: Health variables by London BoroughIn GeoDaOpen a new project in GeoDa: File -> New, Input the Shape file of“london_life_polygon.shp”Practice following statistical functionalities with health variables of ‘LIFE_MALE’ (malelife expectance), ‘LIFE_FEMALE’ (female life expectance), ‘P_SMOKE’ (percentage ofsmoking population), ‘P_BINGE’ (percentage of binge drinking population),P_HEALTHY (percentage of healthy population).GeoDa -> Explore -> Histogram-> Boxplot-> Scatterplot-> Bubble ChartPractice following statistical functionalities with variables of ‘OBESE’ (obesitypopulation) and ‘Population’ (residential population)GeoDa -> Map -> Rates-Calculated map -> Raw Rate-> Excess RiskWith above functions, risk of obesity will be spatially illustrated in London,which can support further risk analysis.Problem solving: Initially explore spatial accessibly in LondonFunctionality: Basic spatial analysis tools in QGISData set: Maps of London Boroughs, Motorway and Underground StationsIn QGISAdd “london_boroughs.shp”, “motorway.shp” and “UndergroundStations.shp”Practice following statistical functionalities:QGIS -> Vector -> Analysis Tools -> Sum line lengths by polygon-> Count points in polygon2With above functions, it is easy to find out figures related to local spatialaccessibility, such as length of Motorway and number of tube stations.Task 2: Thematic Mapping of Crime Data across London BoroughsProblem solving: Create thematic maps to show spatial pattern of crimes in LondonFunctionality: Mapping functions in GeoDaData set: Crime variables by London BoroughIn GeoDaOn “london_life_polygon.shp”, practice following mapping functionalities with crimevariables of “BURGLARY” (counts of burglary per 1000 persons), “CRIME_DANAG”(counts of crime damage per 1000 persons), “DRUG_OFFEN” (counts of drug offenceper 1000 persons), “VEHICLES” (counts of vehicles theft per 1000 persons),“VIOLENCE” (counts of violence crime per 1000 persons).GeoDa -> Map -> Quantile Map-> Percentile Map-> Box-> Standard Deviation Map-> Cartogram MapWith above functions, various thematic map can be created to demonstratespatial distribution of different types of crimesIn QGISOn “london_life_polygon.shp”, practice following mapping functionalities with crimevariables of “CRIME_1000” (total counts of crime per 1000 persons) with yourpreferred colour schemes:QGIS -> Layer -> Properties -> Style(right click of mouse -> Properties -> Style-> Graduated)QGIS and GeoDa have similar functions on thematic mapping. QGIS is moreflexible while GeoDa is more straightforward.Please export rate and risk maps of obesity created in GeoDa from Task 1, export thematicmap of crime created in QGIS from Task 2 and put them into your portfolio.GeoDa: right click of you mouse -> Save Image asQGIS: Project -> Save as ImagesPlease have comments on difference between functionalities of Geostatiscs andcorresponding functionalities in conventional statistical packages.In thematic maps, is there any difference in spatial pattern by different classifications andcolour schemes?
