2016
DOI: 10.1016/j.landusepol.2016.04.008
|View full text |Cite
|
Sign up to set email alerts
|

Peri-urban agriculture in Jabodetabek Metropolitan Area and its relationship with the urban socioeconomic system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
39
0
5

Year Published

2017
2017
2021
2021

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 73 publications
(44 citation statements)
references
References 25 publications
0
39
0
5
Order By: Relevance
“…GWR is a local spatial statistical method for evaluating how the relationships between a dependent variable and one or more explanatory variables change spatially. As one of the useful tools to explore the spatial local heterogeneity, GWR has been widely used in many fields in recent years, For example, the geographic variation and impact factors of urban public green space availability [46], peri-urban agriculture [47], noise pollution [48], population [49] and resident recreation demand [50] have been investigated with GWR. The GWR method was usually compared with global spatial statistical methods, such as the ordinary least squares (OLS) regression, regression kriging, or co-kriging and the comparisons showed the advantages of GWR in improving mapping quality and exploring spatially varying local relationships [47][48][49][50][51].…”
Section: Methodsmentioning
confidence: 99%
“…GWR is a local spatial statistical method for evaluating how the relationships between a dependent variable and one or more explanatory variables change spatially. As one of the useful tools to explore the spatial local heterogeneity, GWR has been widely used in many fields in recent years, For example, the geographic variation and impact factors of urban public green space availability [46], peri-urban agriculture [47], noise pollution [48], population [49] and resident recreation demand [50] have been investigated with GWR. The GWR method was usually compared with global spatial statistical methods, such as the ordinary least squares (OLS) regression, regression kriging, or co-kriging and the comparisons showed the advantages of GWR in improving mapping quality and exploring spatially varying local relationships [47][48][49][50][51].…”
Section: Methodsmentioning
confidence: 99%
“…Figure 3 show that 66% of respondents had lost their lands to increasing urbanization and land transformation while 34% indicated they have not. Pribadi and Pauleit (2015) argued that human activities; especially, under urbanization, have resulted in significant loss of agricultural lands during the past two decades around the world and have contributed to reducing available farm lands. The loss of agricultural lands compels affected households to divert to other means of livelihood.…”
Section: Introductionmentioning
confidence: 99%
“…Overall, farm altitudes ranged from 110 to 540 m above sea level with lower elevations for farms in the northern part of Bogor. On Java Island, aquaculture is often conducted in periurban areas (Pribadi & Pauleit, ). Thus, 20% ( n = 6) of farms were located in the middle of dwellings or in direct contact with a few dwellings, whereas 47% ( n = 14) of the farms surveyed were in an area with limited urban development (>100 m from production ponds), and 33% ( n = 10) are in an intermediate situation, with houses nearby but in a relatively open environment (e.g., houses close to one side of the farm and countryside on the other side).…”
Section: Resultsmentioning
confidence: 99%