Geo Spatial Analysis in Urban Planning
Created By
Prof. Saikat Kumar Paul via Swayam
- 0
- 4 weeks long
- Swayam
- English
Course Overview
The objective of this course is to teach the theory and process of spatial relationships as applied to urban form and the development and analysis of urban environments using geographic information systems and spatial analysis techniques such as spatial statistical modeling
INTENDED AUDIENCE : City Planning; Urban Planning; City Planning; Regional Planning; Architecture PREREQUISITES : NILL INDUSTRY SUPPORT : NILL
INTENDED AUDIENCE : City Planning; Urban Planning; City Planning; Regional Planning; Architecture PREREQUISITES : NILL INDUSTRY SUPPORT : NILL
Course Circullum
COURSE LAYOUT
Week 1 : Introduction to Geographic Information System and Geographic Distribution - Analyzing Patterns using Spatial Statistics
Week 2 : GIS functionality and spatial analysis in the urban planning. This module will deal with GIS applications and, in combination with introductory statistics, for resource allocation in space. Specific applications shall include network analysis; retail site-suitability; spatial housing market analysis; and predictive modeling.
Week 3 : Modeling Geographical Space – This module would cover raster-based analysis related to proximity, density and interspersion
Week 4 : Modeling Spatial Relationships – This module shall deal with concepts related to Ordinary Least Squares Regression, Exploratory Regression, Geographically Weighted Regression
Week 2 : GIS functionality and spatial analysis in the urban planning. This module will deal with GIS applications and, in combination with introductory statistics, for resource allocation in space. Specific applications shall include network analysis; retail site-suitability; spatial housing market analysis; and predictive modeling.
Week 3 : Modeling Geographical Space – This module would cover raster-based analysis related to proximity, density and interspersion
Week 4 : Modeling Spatial Relationships – This module shall deal with concepts related to Ordinary Least Squares Regression, Exploratory Regression, Geographically Weighted Regression
Item Reviews - 3
Submit Reviews
This Course Include:
COURSE LAYOUT
Week 1 : Introduction to Geographic Information System and Geographic Distribution - Analyzing Patterns using Spatial Statistics
Week 2 : GIS functionality and spatial analysis in the urban planning. This module will deal with GIS applications and, in combination with introductory statistics, for resource allocation in space. Specific applications shall include network analysis; retail site-suitability; spatial housing market analysis; and predictive modeling.
Week 3 : Modeling Geographical Space – This module would cover raster-based analysis related to proximity, density and interspersion
Week 4 : Modeling Spatial Relationships – This module shall deal with concepts related to Ordinary Least Squares Regression, Exploratory Regression, Geographically Weighted Regression
Week 2 : GIS functionality and spatial analysis in the urban planning. This module will deal with GIS applications and, in combination with introductory statistics, for resource allocation in space. Specific applications shall include network analysis; retail site-suitability; spatial housing market analysis; and predictive modeling.
Week 3 : Modeling Geographical Space – This module would cover raster-based analysis related to proximity, density and interspersion
Week 4 : Modeling Spatial Relationships – This module shall deal with concepts related to Ordinary Least Squares Regression, Exploratory Regression, Geographically Weighted Regression
- Provider:Swayam
- Certificate:Paid Certificate Available
- Language:English
- Duration:4 weeks long
- Language CC: