An Application of the Spatial Autocorrelation Method on the Change of Real Estate Prices in Taitung City

Wang, Wen-Ching; Chang, Yu-Ju; Wang, Hsueh-Ching

doi:10.3390/ijgi8060249

Cited by 46 publications

(29 citation statements)

References 59 publications

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“…The next thing to do in this study is to determine the value of spatial autocorrelations (SA) which is obtained using Moran's method. Wang (Wang, 2019) in his research said that this method is used to find two or more spatial data that are close together and have similarities.…”

Section: Methodsmentioning

confidence: 99%

Unmet Need of Health Facilities in Bogor Regency

Wahyunugroho

2020

Jurnal Riset Kesehatan

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The existence of health facilities (fasilitas kesehatan/faskes) especially at the district level is considered very appropriate to reduce the number of people whose health is impaired. For this reason, a targeted program needed to reduce this number. The program is by reducing the number of unmet needs in areas that have high population, high rate of increase and high density. This is very in accordance with the characteristics of Bogor regency as a research locus. The method used in this research is a combination method, which is a combination of tabular analysis (statistics) with spatial data. The combination of the two will produce locations with low unmet need health facilities resulting from a causality of 2 (two) variables, both of these variables are the number of residents with the number of health facilities, so that the precise and accurate results will be obtained. The conclusion from the spatial analysis is that there are 19 from 40 sub-districts in Bogor regency whose indicators of unmet need for low health facilities. Although this research is considered very simple, the results of this study are very important because it can be used as a guideline for the development of health facilities, especially community health centers (Puskesmas) in Bogor regency.

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Section: Methodsmentioning

confidence: 99%

Unmet Need of Health Facilities in Bogor Regency

Wahyunugroho

2020

Jurnal Riset Kesehatan

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“…Hot-spot analysis calculates the Z scores between patches based on the Getis–Ord Gi* statistical index in the GIS platform, which can directly reflect the agglomeration of a high value area (hot-spot area) and a low value area (cold point area) in space [38]. The higher the Z value, the more obvious the agglomeration of the hot-spot area.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Analysis and Control of Landscape Eco-Security at the Urban Fringe in Shrinking Resource Cities: A Case Study in Daqing, China

Chen

Fadelelseed

et al. 2019

IJERPH

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As the main bearing area of the ecological crisis in resource-rich cities, it is essential for the urban fringe to enhance regional ecological security during a city’s transformation. This paper takes Daqing City, the largest oilfield in China’s cold land, as an example. Based on remote sensing image data from 1980 to 2017, we use the DPSIR (Driving forces, Pressure, State, Impact, Response) framework and spatial auto-correlation analysis methods to assess and analyze the landscape eco-security change of the study area. From the perspective of time–space, the study area is partitioned, and control strategies are proposed. The results demonstrate that: (1) The landscape eco-security changes are mainly affected by oilfield exploitation and ecological protection policies; the index declined in 1980–2000 and increased in 2000–2017. (2) The landscape eco-security index has obvious spatial clustering characteristics, and the oil field is the main area of warning. (3) The study area determined the protection area of 1692.07 km2, the risk restoration area of 979.64 km2, and proposed partition control strategies. The results are expected to provide new decision-making ideas in order to develop land use management and ecological plans for the management of Daqing and other resource shrinking cities.

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“…Model 3 was designed to control for SAC. Methods of controlling SAC in logistic regression include: developing autocovariate models in which a spatial control variable is incorporated based on the weighted average distances between neighbors of the same unit response variable [70] or SAC residuals [71]; using random sampling to minimize the effects of SAC [72]; incorporating geographic coordinates as continuous predictor variables [73]; and incorporating other spatially explicit lag variables that control for locational effects [74].…”

Section: Model 2: Multiple Logistic (Adjusted)mentioning

confidence: 99%

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

LaFevor

Ponette‐González

Larson

et al. 2021

Land

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Agricultural support programs distribute payments to farms based on a diverse set of policy objectives. Adequate targeting of this support to priority areas is key to efficient and effective policy. We evaluated the targeting strategy of a national-level program in Mexico that distributed support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. We used a series of logistic models to assess the coverage and leakage rates of the program’s targeting strategy and found rates of about 80 and 20 percent, respectively. We also found significant differences between the targeting priorities specified in program rules and the observed distribution of support measures. In general, the program favored arid and semi-arid regions at high risk of soil erosion but neglected smallholder farms in high-poverty regions with elevated rates of cropland failure. Our findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. This study also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities. This alignment is often overlooked in ex-post assessment, but it is critical for improving targeting precision, equity, and overall policy effectiveness.

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An Application of the Spatial Autocorrelation Method on the Change of Real Estate Prices in Taitung City

Cited by 46 publications

References 59 publications

Unmet Need of Health Facilities in Bogor Regency

Unmet Need of Health Facilities in Bogor Regency

Spatiotemporal Analysis and Control of Landscape Eco-Security at the Urban Fringe in Shrinking Resource Cities: A Case Study in Daqing, China

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

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