GIS and machine learning for small area classifications in developing countries. (2020)

• Record Type: Book
• Further Information: Note: Adegbola Ojo.
• Authors: Ojo, Adegbola
• Contents: PART 1: BACKGROUND, CONCEPTS AND DEFINITIONS Introduction Origins and Concept of Social Area Classification Public Policy Prospects of Small Area Classifications for Developing Countries Reasons for Slow Proliferation of Area Classifications across Developing Countries PART 2: UNDERLYING TECHNIQUES AND DEPLOYMENT APPROACHES Building Blocks: Spatial Data Preparation Machine Learning Methods for Building Small Area Classifications Visualizing Small Area Geodemographic Data and Information Products PART 3: ILLUSTRATIVE APPLICATIONS AND CONCLUSION The Grouping of Nigerian Local Government Areas Combining Continuous and Categorical Data to Segment Philippines Barangays Modeling Temporal Distribution and Seasonality of Infectious Diseases with Area Classifications Segmenting Gender Gaps in Levels of Educational Attainment Conclusion
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 304.8091724; Geodemographics -- Developing countries; Geographic information systems; Machine learning
• Languages: English
• ISBNs: 9781000289398; 9781000289374; 9781000289381; 9780429318344
• Related ISBNs: 9780367322441
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.