Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

To study the development of spatial and social behavior of preschool children, micro-level spatiotemporal data were collected for the first time in both spatial and social context using a novel behavioral coding system. These unique behavioral data enable us to explore the group-level, dynamic, spatial, and social patterns of preschool children's playing behavior from a hybrid geographic and social perspective. In this research, GIS and exploratory spatial data analysis (ESDA) techniques are employed together to study group-level spatial and social behavior emerging from children's everyday activities and interactions. ESDA with social weights is proposed to explore spatial and social patterns of preschool children's behavior at the same time. The results highlight the utility of this approach for studying the relationships between preschool children's playing behavior and preschool's environmental settings and the relationships between preschool children's personal activities and the formation of their social network space.

Original languageEnglish (US)
Pages (from-to)67-80
Number of pages14
JournalApplied Geography
Volume43
DOIs
StatePublished - Sep 2013

Fingerprint

preschool children
spatial data
preschool child
data analysis
playing behavior
social behavior
social networks
study group
micro level
social network
Geographical Information System
coding
GIS
interaction
Group

Keywords

  • ESDA
  • Preschool children
  • Social autocorrelation
  • Social weights

ASJC Scopus subject areas

  • Forestry
  • Tourism, Leisure and Hospitality Management
  • Environmental Science(all)
  • Geography, Planning and Development

Cite this

Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior. / Li, Xun; Griffin, William.

In: Applied Geography, Vol. 43, 09.2013, p. 67-80.

Research output: Contribution to journalArticle

@article{d90eba2e90a54c4898dddfef5be22acb,
title = "Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior",
abstract = "To study the development of spatial and social behavior of preschool children, micro-level spatiotemporal data were collected for the first time in both spatial and social context using a novel behavioral coding system. These unique behavioral data enable us to explore the group-level, dynamic, spatial, and social patterns of preschool children's playing behavior from a hybrid geographic and social perspective. In this research, GIS and exploratory spatial data analysis (ESDA) techniques are employed together to study group-level spatial and social behavior emerging from children's everyday activities and interactions. ESDA with social weights is proposed to explore spatial and social patterns of preschool children's behavior at the same time. The results highlight the utility of this approach for studying the relationships between preschool children's playing behavior and preschool's environmental settings and the relationships between preschool children's personal activities and the formation of their social network space.",
keywords = "ESDA, Preschool children, Social autocorrelation, Social weights",
author = "Xun Li and William Griffin",
year = "2013",
month = "9",
doi = "10.1016/j.apgeog.2013.06.003",
language = "English (US)",
volume = "43",
pages = "67--80",
journal = "Applied Geography",
issn = "0143-6228",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior

AU - Li, Xun

AU - Griffin, William

PY - 2013/9

Y1 - 2013/9

N2 - To study the development of spatial and social behavior of preschool children, micro-level spatiotemporal data were collected for the first time in both spatial and social context using a novel behavioral coding system. These unique behavioral data enable us to explore the group-level, dynamic, spatial, and social patterns of preschool children's playing behavior from a hybrid geographic and social perspective. In this research, GIS and exploratory spatial data analysis (ESDA) techniques are employed together to study group-level spatial and social behavior emerging from children's everyday activities and interactions. ESDA with social weights is proposed to explore spatial and social patterns of preschool children's behavior at the same time. The results highlight the utility of this approach for studying the relationships between preschool children's playing behavior and preschool's environmental settings and the relationships between preschool children's personal activities and the formation of their social network space.

AB - To study the development of spatial and social behavior of preschool children, micro-level spatiotemporal data were collected for the first time in both spatial and social context using a novel behavioral coding system. These unique behavioral data enable us to explore the group-level, dynamic, spatial, and social patterns of preschool children's playing behavior from a hybrid geographic and social perspective. In this research, GIS and exploratory spatial data analysis (ESDA) techniques are employed together to study group-level spatial and social behavior emerging from children's everyday activities and interactions. ESDA with social weights is proposed to explore spatial and social patterns of preschool children's behavior at the same time. The results highlight the utility of this approach for studying the relationships between preschool children's playing behavior and preschool's environmental settings and the relationships between preschool children's personal activities and the formation of their social network space.

KW - ESDA

KW - Preschool children

KW - Social autocorrelation

KW - Social weights

UR - http://www.scopus.com/inward/record.url?scp=84880374620&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880374620&partnerID=8YFLogxK

U2 - 10.1016/j.apgeog.2013.06.003

DO - 10.1016/j.apgeog.2013.06.003

M3 - Article

VL - 43

SP - 67

EP - 80

JO - Applied Geography

JF - Applied Geography

SN - 0143-6228

ER -