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$ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + # # G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F G F $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + $ + The 1854 Broad Street Cholera Outbreak: 1 2 3 4 5 6 A Modern Recreation of Historic Spatial Analysis . John Snow's work in identifying the source of the 1854 Broad Street Cholera Outbreak in London (geographic context in Map 6) represents an early application of spatial analysis that predates computer aided analysis. This map is a recreation of Snow's analysis using modern statistical techniques on Snow's original data, represented by Map 3. . The first stage in this analysis involved creating Thiessen Polygons (Map 1). Each of these polygons represents the closest water pump within the area of the study. Next, each death is allocated to the pump by it's location relative to the Thiessen polygons. This was the extent of Snow's original research, which led to the disabling of the Broad Street Pump, the pump associated with the most deaths. . The next map (Map 2) shows the mean center (unweighted in purple, weighted in green) of the spatial distribution of deaths in the study area. The relationship between these two points forms a theoretical line pointing towards the densest area of the outbreak. The orange circle represents the standard distance of deaths from the weighted mean center, or one standard deviation of the distance from the weighted center of death locations, which supports Snow's initial hypothesis that the Broad Street Pump was the cause of the outbreak. . Map 4 depicts an Inverse Distance Weighted Interpolation of deaths by location within the study area. The gradient from yellow to red represents the likelihood that a given cell has an influence on the spatial position of the input data set, in this case, the death addresses data from Snow's original analysis. Water pumps falling in red areas are more likely to be spatially related to the location (weighted by the number) of deaths in the study area. Again, the Broad Street Pump appears to be in the center of this data set. The final map, Map 5, shows a Hot Spot Analysis of Snow's data. The first step in this analysis involved using spatial autocorrelation to find out how the data related to itself in distance, looking at te distance from each location and comparing it to all of the other points of data to determine how the data was clustered. Most data appeared to be clustered in areas ~110 meters in radius, with a sharp decline at ~120 meters. Using this information, Hot Spot Analysis looked at the clusters of data to determine the statistiacal likeliness that any given cell was a Hot Spot, or related to the spatial distribution of the input data set. The Hot Spot Analysis tool also includes Cold Spots, or locations that are statistically unlikely to be the source or a factor in the spatial distribution of the input data. In this visualization Hot Spots are represented in red, while Cold Spots are represented in blue; areas with a low statistical likeliness to effect the spatial distribution of the input data are depicted in yellow. This final level of analysis also pointed to the Broad Street Pump as being the source of the 1854 Cholera Outbreak, further supporting Snow's historic hypothesis. $ + 43 Broadwick Street $ + 1 Great Titchfield Street $ + 10 Ramillies Place $ + 2 Berners Street $ + 1 Newman Street $ + 1 Carnaby Street $ + 11 Warwick Street $ + 9 Vigo Street $ + 20 A4 $ + 52 Rupert Street $ + 54 Dean Street $ + 36 Bridle Lane G F Cholera Deaths # Weighted Spatial Mean Center # Spatial Mean Center Standard Distance 7.83828 1 Map 4: IDW Z-Scores 3.47303 -2.21557 Map 5: Hot Spot Z- Scores Map created by Theodore Ahlvin for EcoGeo Consulting, 11/29/2014 Data Sources: WWU 2014, ESRI 2014 Projections: WGS 1984, UTM Zone 30N ¯ 0 100 200 300 400 50 Meters

The 1854 Broad Street Cholera Outbreak: A Modern ... · John Snow's work in identifying the source of the 1854 Broad Street Cholera Outbreak in London (geographic context in Map 6)

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Page 1: The 1854 Broad Street Cholera Outbreak: A Modern ... · John Snow's work in identifying the source of the 1854 Broad Street Cholera Outbreak in London (geographic context in Map 6)

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The 1854 Broad Street Cholera Outbreak:1

2

3

4

5

6

A Modern Recreation ofHistoric Spatial Analysis

. John Snow's work in identifying the source of the 1854 Broad StreetCholera Outbreak in London (geographic context in Map 6) represents anearly application of spatial analysis that predates computer aided analysis.This map is a recreation of Snow's analysis using modern statisticaltechniques on Snow's original data, represented by Map 3.. The first stage in this analysis involved creating Thiessen Polygons (Map1). Each of these polygons represents the closest water pump within the areaof the study. Next, each death is allocated to the pump by it's location relativeto the Thiessen polygons. This was the extent of Snow's original research,which led to the disabling of the Broad Street Pump, the pump associatedwith the most deaths.. The next map (Map 2) shows the mean center (unweighted in purple,weighted in green) of the spatial distribution of deaths in the study area. Therelationship between these two points forms a theoretical line pointingtowards the densest area of the outbreak. The orange circle represents thestandard distance of deaths from the weighted mean center, or one standarddeviation of the distance from the weighted center of death locations, whichsupports Snow's initial hypothesis that the Broad Street Pump was the causeof the outbreak.. Map 4 depicts an Inverse Distance Weighted Interpolation of deaths bylocation within the study area. The gradient from yellow to red represents thelikelihood that a given cell has an influence on the spatial position of theinput data set, in this case, the death addresses data from Snow's originalanalysis. Water pumps falling in red areas are more likely to be spatiallyrelated to the location (weighted by the number) of deaths in the study area.Again, the Broad Street Pump appears to be in the center of this data set.

The final map, Map 5, shows a Hot Spot Analysis of Snow's data. The first step in this analysisinvolved using spatial autocorrelation to find out how the data related to itself in distance,looking at te distance from each location and comparing it to all of the other points of data todetermine how the data was clustered. Most data appeared to be clustered in areas ~110 meters inradius, with a sharp decline at ~120 meters. Using this information, Hot Spot Analysis looked atthe clusters of data to determine the statistiacal likeliness that any given cell was a Hot Spot, orrelated to the spatial distribution of the input data set. The Hot Spot Analysis tool also includesCold Spots, or locations that are statistically unlikely to be the source or a factor in the spatialdistribution of the input data. In this visualization Hot Spots are represented in red, while ColdSpots are represented in blue; areas with a low statistical likeliness to effect the spatialdistribution of the input data are depicted in yellow. This final level of analysis also pointed tothe Broad Street Pump as being the source of the 1854 Cholera Outbreak, further supportingSnow's historic hypothesis.

$+43 Broadwick Street$+1 Great Titchfield Street$+10 Ramillies Place$+2 Berners Street$+1 Newman Street$+1 Carnaby Street$+11 Warwick Street$+9 Vigo Street

$+ 20 A4$+ 52 Rupert Street$+ 54 Dean Street$+ 36 Bridle LaneGFCholera Deaths

#Weighted Spatial Mean Center# Spatial Mean Center

Standard Distance

7.83828

1

Map 4:IDW

Z-Scores

3.47303

-2.21557

Map 5:Hot SpotZ- Scores

Map created by Theodore Ahlvin for EcoGeo Consulting, 11/29/2014 Data Sources: WWU 2014, ESRI 2014 Projections: WGS 1984, UTM Zone 30N

¯ 0 100 200 300 40050Meters

Administrator
Sticky Note
Hey Theo, Nice work on this lab. The questions were good with a few notes. This map has lots of great information, but I think the center image really takes over while the others tell more interesting stories. Text is good, but could be more bold and easier to read. I like having one central key. Organization looks good. ENVS420 Lab 5 Grading Rubric Points PossiblePoints Awarded 35Questions 30 45Map 1 41 20Model and Data20 100Total% 91% Thanks, -Donal