Machine learning and agglomerations

Adipandang Yudono; Raden Chrisna Trie Hadi Permana; Firman Afrianto

doi:10.4337/9781800379282.00339

Machine learning and agglomerations

Adipandang Yudono
, Raden Chrisna Trie Hadi Permana
, Firman Afrianto

Faculty of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This is a definition of machine learning and agglomerations in the Thematic Encyclopaedia of Regional Science. This thematic encyclopaedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods, and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research.

Original language	English
Title of host publication	Thematic Encyclopedia of Regional Science
Publisher	Edward Elgar Publishing Ltd.
Pages	678-680
Number of pages	3
ISBN (Electronic)	9781800379282
ISBN (Print)	9781800379275
DOIs	https://doi.org/10.4337/9781800379282.00339
Publication status	Published - 1 Jan 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Actors and society
Goods and markets
Governance and policy
Machine learning and agglomerations
Methods and techniques
Services and economy
Space and time
Transport and interactions

Access to Document

10.4337/9781800379282.00339

Cite this

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title = "Machine learning and agglomerations",

abstract = "This is a definition of machine learning and agglomerations in the Thematic Encyclopaedia of Regional Science. This thematic encyclopaedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods, and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research.",

keywords = "Actors and society, Goods and markets, Governance and policy, Machine learning and agglomerations, Methods and techniques, Services and economy, Space and time, Transport and interactions",

author = "Adipandang Yudono and Permana, \{Raden Chrisna Trie Hadi\} and Firman Afrianto",

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doi = "10.4337/9781800379282.00339",

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AU - Yudono, Adipandang

AU - Permana, Raden Chrisna Trie Hadi

AU - Afrianto, Firman

N1 - Publisher Copyright: © Peter Nijkamp, Karima Kourtit, Kingsley E. Haynes and Zeynep Elburz 2025.

PY - 2025/1/1

Y1 - 2025/1/1

N2 - This is a definition of machine learning and agglomerations in the Thematic Encyclopaedia of Regional Science. This thematic encyclopaedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods, and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research.

AB - This is a definition of machine learning and agglomerations in the Thematic Encyclopaedia of Regional Science. This thematic encyclopaedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods, and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research.

KW - Actors and society

KW - Goods and markets

KW - Governance and policy

KW - Machine learning and agglomerations

KW - Methods and techniques

KW - Services and economy

KW - Space and time

KW - Transport and interactions

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DO - 10.4337/9781800379282.00339

M3 - Chapter

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SP - 678

EP - 680

BT - Thematic Encyclopedia of Regional Science

PB - Edward Elgar Publishing Ltd.

ER -

Machine learning and agglomerations

Abstract

UN SDGs

Keywords

Access to Document

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