This lecture explores key concepts in spatial analysis using GIS, focusing on proximity buffers, area calculations, and determining centroids' x, y values. It includes practical examples such as site suitability for new facilities, buffering polluting companies and schools, and analyzing businesses near major streets. The tutorial further covers apportionment techniques to estimate populations in voting districts using census data. By understanding these methods, users can efficiently analyze spatial relationships and conditions for effective decision-making in various applications.
01 / 70Advanced Spatial Analysis Techniques in GIS: Proximity Buffers, Centroids, and Apportionment
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Advanced Spatial Analysis Techniques in GIS: Proximity Buffers, Centroids, and Apportionment
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Proximity buffers • Points • Circular buffers with user supplied radius • Lines • Looks like worm based on line feature GIS TUTORIAL 1 - Basic Workbook 4
Proximity buffers • Polygons • Extends polygons outward and rounds off corners • Created by assigning a buffer distance around polygon GIS TUTORIAL 1 - Basic Workbook 5
Point buffer example • Polluting company buffers • Added schools • Added population Buffering is located in ArcToolbox: Select Analysis Tools, Proximity, Buffer GIS TUTORIAL 1 - Basic Workbook 6
Polygon buffer example • River buffer to analyze environmental conditions, flooding, etc. GIS TUTORIAL 1 - Basic Workbook
Lecture 9 Calculate Area GIS TUTORIAL 1 - Basic Workbook
Area: Add the Field • Add area field in shapefile • Right click area field • Calculate Geometry • Select Property= Area and Units= Square miles or Sq Ft GIS TUTORIAL 1 - Basic Workbook
Area: calculate the area • Result is the area field is populated for each • polygon feature GIS TUTORIAL 1 - Basic Workbook
Polygon Centroids • Advanced calculations for finding polygon centroids • Added as an XY Data Layer GIS TUTORIAL 1 - Basic Workbook
Point Centroid • Add x & y fields in shapefile • Right click x field • Calculate Geometry • Select Property= x Coordinate of Centroid • and Units= Feet • Right click y field and repeat for y coordinate of centroid GIS TUTORIAL 1 - Basic Workbook
Polygon Centroids • Export attributes as table • Add as XY Data: • File>Add Data> Add XY Data GIS TUTORIAL 1 - Basic Workbook
Lecture 9 SITE Suitability GIS TUTORIAL 1 - Basic Workbook
Locate new police station • Criteria • Must be centrally located in each car beat (within a 0.33-mile radius buffer of car beat centroids) • Must be in retail/commercial areas (within 0.10 mile of at least one retail business) • Must be within 0.05 mile of major streets GIS TUTORIAL 1 - Basic Workbook
Starting map • Lake Precinct of the Rochester, New York, Police Department • Police car beats • Retail business points • Street centerlines GIS TUTORIAL 1 - Basic Workbook
Apportionment example • Population by voting district • You want to know the population of a voting district but only have census tracts • Voting districts and census tracts are not contiguous • Approximate the population of voting using census tracts and blocks GIS TUTORIAL 1 - Basic Workbook 32
Other simple apportionments • Population by • Neighborhoods • Zip Codes • Historic sites • Others? GIS TUTORIAL 1 - Basic Workbook
Census data to apportion • Short form SF1 data (tract, block group, block) • Population • Age • Race • Housing Units • Others? • Long form SF3 data (tract and block group) • Educational attainment • Income • Poverty status • Others? GIS TUTORIAL 1 - Basic Workbook 38
Advanced Apportionment • Chapter 9 example • Police want to know the number of under-educated persons in their car beats • Under-educated data is located SF3 tables, census tracts or block groups (not car beat polygons) GIS TUTORIAL 1 - Basic Workbook 40
Data to apportion • Car beats • Census tracts • Beats and tracts • Not contiguous GIS TUTORIAL 1 - Basic Workbook 41
Beats and tracts zoomed • Tracts clearly cut across beats GIS TUTORIAL 1 - Basic Workbook 42
Tract attribute table • Tracts contain undereducated data • No high school degree GIS TUTORIAL 1 - Basic Workbook 43
Math of apportionment • Simple census data (e.g. population) is not a problem • Can use block centroids • Problem • Block centroids don’t contain undereducatedpopulation • Tracts contain thisinformation GIS TUTORIAL 1 - Basic Workbook 44
Math of apportionment • Tract 360550002100 • Car beats 261 and 251 GIS TUTORIAL 1 - Basic Workbook 45
Math of apportionment • One approach • Assume that the target population is uniformly distributed across the tract • You could split undereducated population up by the fraction of the area of the tract in each car beat • What if, however, the tract has a cemetery, park, or other unoccupied areas? Then the apportionment could have sizable errors GIS TUTORIAL 1 - Basic Workbook 46
Math of apportionment • A better approach • Use a block-level, short-form census attribute as the basis of apportionment • Assume that the long-form attribute of interest is uniformly distributed across the short-form population (accounts for unoccupied areas) • One limitation of the block-level data is that the break points for age categories do not match those of the educational attainment data (persons 25 or older) • The best that can be done with the block data is to tabulate persons aged 22 or older • Close enough for approximation GIS TUTORIAL 1 - Basic Workbook 47
Math of apportionment • Tract 360550002100 has 39 block centroids that span 2 beats Of the 26 blocks making up the tract, the 13 that lie in car beat 261 have 1,177 people aged 22 or older. The other 13 blocks in car beat 251 have 1,089 such people for a total of 2,266 for the tract. GIS TUTORIAL 1 - Basic Workbook 48
Math of apportionment • Apportionment assumes that the fraction of undereducated people aged 25 or older is the same as that for the general population aged 22 or older • This fraction, called the weight, is 1,177 ÷ 2,266 = 0.519. For the other car beat, the weight is 1,089 ÷ 2,266 = 0.481 • Thus, we estimate the contribution of tract 36055002100 to car beat 261’s undereducated population to be (1,177 ÷ 2,266) × 205 = 106. For car beat 251, it is (1,089 ÷ 2,266) × 205 = 99 GIS TUTORIAL 1 - Basic Workbook 49
Math of apportionment • Eventually, by apportioning all tracts, we can sum up the total undereducated population for car beats 261 and 251 GIS TUTORIAL 1 - Basic Workbook 50
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