Kraak, M.J.

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Using effective visualization in maps and diagrams to better understand the SDGs : powerpoint

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Menno-Jan KraakFaculty of Geoinformation Science and Earth ObservationUsing effective visualization in maps and diagrams to better understand the SDGsMenno-Jan KraakFaculty of Geoinformation Science and Earth ObservationMy maps,  The good, the bad and the ugly Workshop• IntroductionExercise: Who is who? • SDG Indicator characteristicsExercise: design your own map: Gender Inequality Index • Cartographic workflowExercise: define your own world view • Design choices• ConclusionsUsing effective visualization in maps and diagrams to better understand the SDGsExercise: Who is Who?Draw the contour of your countryAsk your neighbor if she / he can tell were you’re fromSDGIndicator characteristicsSustainable Development Goals• GoalsExample: Goal 4 Educationhttp://www.un.org/sustainabledevelopment/education/4.1 4.2 4.3 4.4 4.5 4.6 4.7• Targets4.1.14.1.24.2.14.2.24.4.14.4.24.3.1 4.5.1 4.6.14.6.24.7.14.7.2• Indicators• 4.1 By 2030, ensure that all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomes• 4.2 By 2030, ensure ……..• …..https://sustainabledevelopment.un.org/content/documents/6754Technical%20report%20of%20the%20UNSC%20Bureau%20(final).pdfGoal 4: Education - Sample Targets • 4.1 By 2030, ensure that all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomes  • Indicator 4.1.1 Percentage of children who achieve minimum proficiency standards in reading and mathematics at end of: (i) primary (ii) lower secondary• Indicator 4.1.2 Completion rate (primary, lower secondary, upper secondary)Goal 4: Education - Sample Indicators Goal 4: Education - Analyzing the data% minimum proficiency Completion rate levels of educationParticipation rate in organized learningEarly Childhood Development IndexEnrollment ratios by level and typeParticipation rate among 25-65 years% of computer and information literateParity indices (female/male, urban/rural, .% of proficientYouth/adult literacy rate% of 15yrs proficiency of  environmental science and geoscience% of 13yrs promoting governanceIndicators and data typesnominal value in SDG indicator all: yes/noonevariableordinal valueonevariable level or rankindex (calculatedmanyvariables formulaX per Y, other than population or timeother rateonevariable change rate (per time unit) % change or count X per timerate per population unit count X per capita / populationonevariable% of X, other than populationother proportionproportion % of total populationproportion of total populationonevariablecount Xonevariableabsolute(one value)description (X and Y are variables)data type (name)variablesabsolute / relativescale typerateproportiondata type (name)onevariablerelative(calculatedusing twoor more values)nominalratioordinaltwovariablesabsolute valueindex (calculated)ordinal valuenominal valueIncomplete indicators• Tier I: internationally established methodology and standards• Data regularly produced for at least 50 percent of countries and of the population in every region• Tier II: data not regularly produced by countries• Tier III: methodology or standards are being (or will be) establishedSDG indicator tiersIndicators and their TIER level1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17No poverty Zero Hunger Good health well-being Quality education Gender equality Clean Water and sanitationAffordable and clean energyDecent work andeconomic growthIndustry, innovation and infrastructureReduced inequalitiesSustainable cities and communitiesResponsible production and consumptionClimate action Life below water Life on landPeace, justice and strong institutions Partnerships for there goalsTier IIITier IITier IMultiple Tiersgoaltarget g1…gnindicator t1…tnNature of the indicatorsAbsolute value Proportion Rate Index Ordinal value Nominal value1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17Exercise: design your own mapGender inequality indexDesign & draw  the map legendYour workCartographic WorkflowGender inequality indexhttp://hdr.undp.org/en/composite/GIIGender inequality indexPerceptionPerception4.findrequired perceptual propertiesnominalordinalintervalratiogeographydifferentiationorderdistanceproportionratio distancesizevaluetexturecolororientationshapediagrammapappointlineareatextr2.select map or diagram6.select symbology7.select  map typechorochromaticisolinechoroplethproportional pt.othertopographysatelliteadmin unitad in units3.select base map1.data analysis5.select visual variables8.apply design styleGender inequality indexNo Data0.04 - 0.140.15 - 0.330.34 - 0.500.51 - 0.77Gender Inequality IndexBase Maps No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14Gender Inequality IndexGender Inequality Index No Data0.51 - 0.77.34 - 0.50.15 - 0. 30.04 - 0.14 No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14Gender Inequality IndexMap projectionsNot visible: Small Island Developing States (SIDS)?180 °0 °No data 0 - 9 10 - 29 30 - 49 50 - 69 70 +Proportion of population below the international poverty line, 2016 (%Visible SIDS180°0°CHINASOLOMON CHINANo data 0 - 9 10 - 29 30 - 49 50 - 69 70 +Jessica Gosling-GoldsmithMoving central meridianExercise: define your own world viewGo to:  https://worldview.calisto.ptMove the central meridian on the scroll bar below each map into a position you think gives your best global perspective, and click saveSelect your countryhttps://worldview.calisto.ptLocal perspectiveNew YorkEnschedeDeqing‘Local’ point for global perspectiveBut what about comparing?Design choicesGender inequality indexNo Data0.04 - 0.140.15 - 0.330.34 - 0.500.51 - 0.77Gender Inequality IndexChoice of color - what do you want to tell? No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14 No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14 No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14 No Data0.51 - 0.770.34 - 0.500.15 - 0.330.04 - 0.14Choice of color - bivariate solution0.01–0.310.32-0.460.47-0.620.63-0.77no dataDifferent patterns because of number of classes0.01-0.500.51-1.00no data0.01–0.220.23-0.330.34-0.440.45-0.550.56-0.660.67-0.77no data2 60.15–0.300.31-0.460.47-0.620.63-0.77no data0.01–0.230.24-0.390.40-0.530.54-0.77no dataDifferent patterns because of classificationEqual class sizeSame amount of observations per classPopulation related topicsAlternative representations19-3215-189-140-9No dataInfant Mortality per 1000(Indicator 3.2.1)a) Choropleth b) Cartogram c) Choropleth and nightlight basemapConclusions• Base map• Projection (web services work with Mercator projection….)• Content (often satellite imagery / open street map are used….)• Administrative units• Size• Distribution within unit (people, other)• Design flaws• Choice projection / adm. units• Data handling• Application of visual variables• There is a limited use of the available graphic representationsMapping problemsOffer guidelines and best practices for mapping the UN SDGs to…• Best support the SDGs through Cartography with help of the cartographic community• Transfer knowledge and expertise via the book  Mapping a sustainable world  and various training related activitiesICA’s objectiveLet’s make the world a better place with maps

Using effective visualization in maps and diagrams to better understand the SDGs : powerpoint

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