March 21 Session 1 – Advanced polygon aggregation Neighborhood indicators – Concepts Tools Tobler's First Law Select by location (review) Modifiable areal unit problem (MAUP) Summary statistics (review) Ecological fallacy Dissolve (review) Spatial join (review) Required readings: Lloyd, Christopher D. 2010. Concepts 3: Spatial Data Analysis.” Spatial Data “Key Analysis: An Introduction for GIS Users. Oxford: Oxford University Press. 43-64. [ to NYU Libraries and search for title if necessary on Knovel; focus on sections 4.6, 4.9, and 4.10; also focus on concepts rather than math] Koschinsky, Julia. 2014. Mapping: Spatial Analytics and Evaluation of “Beyond Programs.” In Strengthening Communities With Neighborhood Data, edited by G. Thomas Kingsley, Claudia J. Coulton, and Kathryn L. S. Pettit. Washington, DC: Urban Institute. [ebook ; note: section Data, Methods, and Tools for “Spatial Evaluation” is optional] Optional readings: Kingsley, G. Thomas, Claudia J. Coulton, Kathryn L. S. Pettit. 2014. in “Advances Analytic Methods for Neighborhood Data.” In Strengthening Communities With [] Neighborhood Data. Dastrup, Samuel, Ingrid Ellen, Anna Jefferson, Max Weselcouch, Deena Schwartz, Karen Cuenca. 2015. The Effects of Neighborhood Change on New York City Housing Authority Residents. Bethesda, MD: Abt Associates. [] Lab: Advanced aggregation redefining concentrated poverty – Due: assignment Thursday, March 22 Add/drop deadline – The course may be dropped without a W grade within one business day of the first meeting; see Wagner’s for more detail. March 28 Session 2 – Polygon apportionment Demographic/socioeconomic data in custom study areas – Concepts Tools Apportionment algorithms Intersect (review)
March 21 – Session 1 Advanced polygon aggregation – Neighborhood indicators Concepts Tools Tobler's First Law Modifiable areal unit problem (MAUP) Ecological fallacy Select by location (review) Summary statistics (review) Dissolve (review) Spatial join (review) Required readings: Lloyd, Christopher D. 2010. “Key Concepts 3: Spatial Data Analysis.” Spatial Data Analysis: An Introduction for GIS Users. Oxford: Oxford University Press. 43-64. [ to NYU Libraries and search for title if necessary on Knovel; focus on sections 4.6, 4.9, and 4.10; also focus on concepts rather than math] Koschinsky, Julia. 2014. “Beyond Mapping: Spatial Analytics and Evaluation of Programs.” In Strengthening Communities With Neighborhood Data, edited by G. Thomas Kingsley, Claudia J. Coulton, and Kathryn L. S. Pettit. Washington, DC: Urban Institute. [ebook ; note: section “Spatial Data, Methods, and Tools for Evaluation” is optional] Optional readings: Kingsley, G. Thomas, Claudia J. Coulton, Kathryn L. S. Pettit. 2014. “Advances in Analytic Methods for Neighborhood Data.” In Strengthening Communities With Neighborhood Data. [] Dastrup, Samuel, Ingrid Ellen, Anna Jefferson, Max Weselcouch, Deena Schwartz, Karen Cuenca. 2015. The Effects of Neighborhood Change on New York City Housing Authority Residents. Bethesda, MD: Abt Associates. [] Lab: Advanced aggregation – redefining concentrated poverty Due: assignment Thursday, March 22 – Add/drop deadline The course may be dropped without a W grade within one business day of the first meeting; see Wagner’s for more detail. March 28 – Session 2 Polygon apportionment – Demographic/socioeconomic data in custom study areas Concepts Tools Apportionment algorithms Intersect (review)
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