GIS and machine learning for small area classfications in developing countries (Record no. 1320321)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01603nam a2200217 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250507140841.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250507b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780367652326 |
| 037 ## - SOURCE OF ACQUISITION | |
| Terms of availability | Textual |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | RTL |
| Transcribing agency | RTL |
| 084 ## - COLON CLASSIFICATION NUMBER | |
| Classification number | D6,9(B) R1 |
| Assigning agency | RTL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ojo, Adegbola |
| 9 (RLIN) | 755399 |
| 245 ## - TITLE STATEMENT | |
| Title | GIS and machine learning for small area classfications in developing countries |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii, 246 p. ill. |
| Other physical details | Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods.<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | GIS- Developing countries |
| 9 (RLIN) | 755400 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data information |
| 9 (RLIN) | 755401 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Colon Classification (CC) |
| Suppress in OPAC | No |
| Koha item type | Textual |
| Classification part | D6,9(B) R1 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Colon Classification (CC) | Ratan Tata Library | Ratan Tata Library | 2025-05-07 | D6,9(B) R1 | RT1528324 | 2025-05-07 | 2025-05-07 | Textual |