Leslie Zolman Advisor: George Chaplin Using GIS to Assess Areas of Most Need.

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Presentation transcript:

Leslie Zolman Advisor: George Chaplin Using GIS to Assess Areas of Most Need

How can the areas of most need be located in a country, in a county or in a city?

Study Areas Denver County, Colorado Niger, Africa

Denver County, Colorado Located in a developed world where rich, accurate data down to the parcel level is available

Niger, Africa Located in a developing world where accurate data on a sub-country level is impossible, difficult, or costly to obtain

NGOs Plan to provide aid and assistance in the two study areasPlan to provide aid and assistance in the two study areas Denver – Outreach aidDenver – Outreach aid Niger – Child sponsorship programNiger – Child sponsorship program

Objectives Using GIS, analyze two disparate geographical regions: one in a developing world country and the other in a data rich region, to determine the areas of most need for health or aid outreachUsing GIS, analyze two disparate geographical regions: one in a developing world country and the other in a data rich region, to determine the areas of most need for health or aid outreach Use the methodologies and results of the two analyzes to compare the strengths of GIS and data availability in these two different study areasUse the methodologies and results of the two analyzes to compare the strengths of GIS and data availability in these two different study areas Compare the GIS approach to traditional survey or best guess approaches of traditional methodologiesCompare the GIS approach to traditional survey or best guess approaches of traditional methodologies

Research Approach and Steps Perform a literature review to gain insight into analysis and support analysis stepsPerform a literature review to gain insight into analysis and support analysis steps Research data sets acquired and how they each affect the overall needs of the study areaResearch data sets acquired and how they each affect the overall needs of the study area Develop analysis steps and determine if all steps can be used for both study areasDevelop analysis steps and determine if all steps can be used for both study areas Determine what analysis steps are specific to each study areaDetermine what analysis steps are specific to each study area Compare the GIS approach to traditional survey or best guess approaches of previous methodologiesCompare the GIS approach to traditional survey or best guess approaches of previous methodologies

Past Uses of GIS in Needs Assessments

Emergency medical accessibility time in Norfolk, UK Gatrell, A. & Senior, M. (2005). Health and Health Care Applications

Missouri community health center utilization by households with incomes below 200% of the federal poverty level by census tract Phillips, R., Kinman, E., Schnitzer, P., Lindbloom, E., & Ewigman, B. (2000). Using Geographic Information Systems to Understand Health Care Access. Archives of Family Medicine, Volume 9, Number 10

Tokyo community need indicator maps used to aid in decision-making Kaneko, Y., Takano, T. & Nakamura, K. (2003). Visual Localisation of Community Health Needs to Rational Decision-making in Public Health Services. Health & Place, Volume9, Issue 3

Denver County Study Area

Data Needed Church and aid locationsChurch and aid locations Shelter locationsShelter locations HUD housing locationsHUD housing locations Single parent family census dataSingle parent family census data Food stamp recipient locationsFood stamp recipient locations Crime hot spot analysisCrime hot spot analysis Denver County parcel land valueDenver County parcel land value Housing unit type census dataHousing unit type census data

Denver Pilot Study A pilot study was performed on portions of Denver County to determine the feasibility of using GIS to study allocation of needA pilot study was performed on portions of Denver County to determine the feasibility of using GIS to study allocation of need Due to time constraints not all data sets were available for the analysisDue to time constraints not all data sets were available for the analysis A general workflow and analysis was developed that produced accurate resultsA general workflow and analysis was developed that produced accurate results The pilot study proved the ability of using GIS to study the allocation of needThe pilot study proved the ability of using GIS to study the allocation of need

The basic steps to the analysis 1.Symbolize polygon data into classes based on need level 2.Buffer point data – each buffer will represent the area of influence the point has 3.Clip polygon and polygon buffers to the study area 4.Convert vector layers into raster layers and generalize to standard resolution as needed 5.Reclassify raster layers into the classes used in step 1 above and assigned a need value 6.Combine raster layers that represent repetitive data using the Raster Calculator and reclassify the new raster output layer 7.Calculate the areas of greatest need using the Raster Calculator and all available data layers 8.Convert the calculation into a shapefile and symbolize to highlight the areas of greatest need

Data Used in Pilot Analysis LayerFile FormatSource SheltersExcelGoogle and Yellowpages.com search HUDExcelHUD.gov apartment search ChurchesExcelGoogle and Yellowpages.com search FHH with ChildShapefile2000 US Census MHH with ChildShapefile2000 US Census Denver ParcelsShapefileDenver County FTP site

Area of Denver County included in the pilot study

Locations of shelters, HUD housing, churches and aid locations

Point data buffered and clipped to study area

Single parent female head of household (FHH) by US Census block group

Single parent male head of household (MHH) by US Census block group

Property values clipped to study area

Classification of layers used in pilot analysis LayerClassificationDescription Shelters0 & 10 = no data area, 1 = buffer areas HUD0 & 10 = no data area, 1 = buffer areas Churches0 & -10 = no data area, -1 = buffer areas FHH with Child0, 1 & 20 = 0-25, 1 = and 2 = single families per block group MHH with Child0 & 10 = 0-25, 1 = single families per block group Denver Parcels1, 0 & -1-1 = over $300,000, 0 = $150,000-$300,000 and 1 = less than $150,000

Results from Raster Calculator

Final analysis showing areas of need

Final analysis showing areas of most need in red

Western study area

Niger Study Area

Desired vs. Available Data Niger data is impossible, difficult, or costly to obtain and therefore the data that will be used in the analysis is completely contingent upon the data availability

Desired Data Infant mortality rateInfant mortality rate Under five mortality rateUnder five mortality rate Life expectancy at birthLife expectancy at birth Health facility locationsHealth facility locations Children suffering from malnutritionChildren suffering from malnutrition School enrolment ratesSchool enrolment rates Food securityFood security HIV/AIDS – by age and sexHIV/AIDS – by age and sex Orphan-hoodOrphan-hood Adult literacy rateAdult literacy rate Access to safe waterAccess to safe water Human development indexHuman development index Population below poverty linePopulation below poverty line Gross domestic productGross domestic product LivelihoodLivelihood NGO activityNGO activity

Available Data Childbirth deathsChildbirth deaths Birth weightBirth weight Malnutrition cases reportedMalnutrition cases reported Children under 5 with malnutritionChildren under 5 with malnutrition Children with diarrhea in the last two weeksChildren with diarrhea in the last two weeks Children attending schoolChildren attending school Women who know how to prevent HIV transmissionWomen who know how to prevent HIV transmission Children 0-14 years with one or both parents deceasedChildren 0-14 years with one or both parents deceased Access to safe waterAccess to safe water Access to sanitationAccess to sanitation Access to health care within 5kmAccess to health care within 5km Adult literacy rateAdult literacy rate L ivelihood zones –food securityL ivelihood zones –food security

Anticipated research results Data used in the analysis will be contingent on data accessibilityData used in the analysis will be contingent on data accessibility Not all desired data will be availableNot all desired data will be available Niger data will be on the region or state levelNiger data will be on the region or state level Denver data will be on a block group level or belowDenver data will be on a block group level or below The analysis for each study area will follow the same basic steps with some small variationsThe analysis for each study area will follow the same basic steps with some small variations When GIS analysis is compared to traditional methodologies it will be found to be superiorWhen GIS analysis is compared to traditional methodologies it will be found to be superior

Questions?