WebGIS Based Poverty Level Analysis (Case Study Of Wonosari Sub-District Boalemo Regency)

Information on household poverty level in Wonosari Sub-district area is still very difficult to access by all parties. Therefore, this study aims to analyze poverty level and map of the spatial distribution of webGIS-based poor households in the site area. In determining the number of samples, descriptive statistical analysis techniques focused on assessing and describing the poverty level of each household. GIS analysis used GIS Application 2.18 to map the spatial distribution of poor households and regional poverty levels. GIS Application has been equipped with 2 web tools that are able to display webGIS-based maps. The results shows that the poverty level of households is in the poor category with a percentage of 72% of households, 14% of households are in the extremely poor category and 14% are in the fairly poor category. and 1 village is in a fairly poor category. This is a village that was built with a view that can be accessed by various PCs, laptops and android media so that the maps information from an analysis of household poverty levels and the spatial distribution of poor households can be accessed on the webGIS that has been built.

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Spatial Distribution of Cattle Herds as a Response to Natural and Social Environments: A Case Study from the Zamfara Reserve, Northwest Nigeria

Nomadic Peoples ◽

10.3167/082279402782311176 ◽

2002 ◽

Vol 6 (2) ◽

pp. 4-21 ◽

Cited By ~ 3

Author(s):

Irene Hoffmann

Keyword(s):

Spatial Distribution ◽

Social Environments ◽

Cattle Herds

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Determinants of Household Poverty in South Korea : Using Multi-Level analysis

Korean Journal of Sociology ◽

10.21562/kjs.2015.02.49.1.139 ◽

2015 ◽

Vol 49 (1) ◽

pp. 139 ◽

Cited By ~ 3

Author(s):

Soon-A Lee

Keyword(s):

South Korea ◽

Household Poverty ◽

Multi Level ◽

Level Analysis

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The Influence of Increased Salvage Felling on Forwarding Distance and the Removal—A Case Study from Croatia

Forests ◽

10.3390/f12010007 ◽

2020 ◽

Vol 12 (1) ◽

pp. 7

Author(s):

Andreja Đuka ◽

Zoran Bumber ◽

Tomislav Poršinsky ◽

Ivica Papa ◽

Tibor Pentek

Keyword(s):

Spatial Distribution ◽

Management Plan ◽

Management Unit ◽

Negative Effects ◽

Forest Operations ◽

Spatial Reference ◽

Infrastructure Network ◽

Gis Environment ◽

Research Period

During the seven-year research period, the average annual removal was by 3274 m3 higher than the average annual removal prescribed by the existing management plan (MP). The main reason lies in the high amount of salvage felling volume at 55,238 m3 (38.3%) in both the main and the intermediate felling due to oak dieback. The analysis of forest accessibility took into account the spatial distribution of cutblocks (with ongoing felling operations) and the volume of felled timber for two proposed factors: (1) the position of the cutblock and (2) the position of the removal. Cutblock position factor took into account the spatial position of the felling areas/sites, while removal position factor besides the spatial reference took into account the amount of felled timber (i.e., volume) both concerning forest infrastructure network and forest operations. The analysed relative forest openness by using geo-processing workflows in GIS environment showed four types of opening areas in the studied management unit (MU): single-opened, multiple-opened, unopened and opened areas outside of the management unit. Negative effects of the piece-volume law and low harvesting densities on forest operations are highlighted in this research due to high amount of salvage felling particularly in the intermediate felling by replacing timber volume that should have come from thinnings.

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