URPL-GP.4651 Advanced GIS: Topics in Spatial Analysis Spring 2018 Wednesdays, 21 May 2 – Lecture: 6:45 8:25 p.m. – Lab: 8:35 9:35 p.m. – 25 W. 4th St. Room C-6 Sean Capperis sean.capperis@nyu.edu Office Hours: By appointment Prerequisites: URPL-GP.2618, CUSP-GX.3007, or equivalent. Course Description Sophisticated analysis of spatial data has become increasingly important to understand emerging issues and support decision-making in urban planning and policy. GIS software facilitates our ability to answer questions about spatial relationships: presence, absence, access, exposure, dispersion, and connectivity. This course will focus on the GIS tools that measure conditions and manipulate data by spatial relationship. We will seat each technique in a specific, practical application in urban planning/policy, and discuss how each technique’s underlying concepts are related to the problem we are trying to solve. We will explore the following concepts and tools: the modifiable areal unit problem, aggregation, neighborhood definition, and polygon apportionment; spatial distributions and cluster identification; and the network data model and network analysis. We will apply those tools across many domains: neighborhood indicators, demographic and socioeconomic conditions, land use regulation, environment, resilience, public safety, and transportation. Lab exercises and assignments will largely focus on current issues in New York City and reinforce visualization and data management practices introduced in earlier classes. The course will culminate in a student-defined, portfolio-quality final project. Course Objectives Understand various spatial relationship concepts, as well as how and when to apply them Identify and account for common methodological challenges using GIS in urban settings Critique and defend the selection of analysis methods and spatial relationship models Use the following new techniques and tools effectively: neighborhood definition, polygon apportionment, hot spot analysis, Network Analyst, and Model Builder Further develop the ability to use spatial evidence to make a sound argument about an issue relevant to planning/policy Develop deeper fluency in cartography, data management, and spatial problem solving Gain more exposure to commonly used spatial data in New York and other U.S. cities
URPL-GP.4651 Advanced GIS: Topics in Spatial Analysis Spring 2018 Wednesdays, 21 – May 2 Lecture: 6:45 – 8:25 p.m. Lab: 8:35 – 9:35 p.m. 25 W. 4th St. Room C-6 Sean Capperis sean.capperis@nyu.edu Office Hours: By appointment Prerequisites: URPL-GP.2618, CUSP-GX.3007, or equivalent. Course Description Sophisticated analysis of spatial data has become increasingly important to understand emerging issues and support decision-making in urban planning and policy. GIS software facilitates our ability to answer questions about spatial relationships: presence, absence, access, exposure, dispersion, and connectivity. This course will focus on the GIS tools that measure conditions and manipulate data by spatial relationship. We will seat each technique in a specific, practical application in urban planning/policy, and discuss how each technique’s underlying concepts are related to the problem we are trying to solve. We will explore the following concepts and tools: the modifiable areal unit problem, aggregation, neighborhood definition, and polygon apportionment; spatial distributions and cluster identification; and the network data model and network analysis. We will apply those tools across many domains: neighborhood indicators, demographic and socioeconomic conditions, land use regulation, environment, resilience, public safety, and transportation. Lab exercises and assignments will largely focus on current issues in New York City and reinforce visualization and data management practices introduced in earlier classes. The course will culminate in a student-defined, portfolio-quality final project. Course Objectives Understand various spatial relationship concepts, as well as how and when to apply them Identify and account for common methodological challenges using GIS in urban settings Critique and defend the selection of analysis methods and spatial relationship models Use the following new techniques and tools effectively: neighborhood definition, polygon apportionment, hot spot analysis, Network Analyst, and Model Builder Further develop the ability to use spatial evidence to make a sound argument about an issue relevant to planning/policy Develop deeper fluency in cartography, data management, and spatial problem solving Gain more exposure to commonly used spatial data in New York and other U.S. cities
URPL-GP.4651.001_0.docx