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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 6, No 2 (2019)" : 6 Documents clear
Modelling 3D Topography by Comparing Airborne Lidar Data with Unmanned Aerial System (UAS) Photogrammetry Under Multiple Imaging Conditions Oluibukun Gbenga Ajayi; Mark Palmer
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.122-138

Abstract

This study presents the effect of image data sources on the topographic modelling of part of the National Trust site located at Weston-Super-Mare, Bristol, United Kingdom, covering an approximate area of 1.82 hectares. The accuracy of the DEM generated from 1m resolution and 2m resolution LiDAR data together with the accuracy of the DEM generated from the UAV images acquired at different altitudes are analysed using the 1 m LiDAR DEM as reference for the accuracy assessment. Using the NSSDA methodology, the horizontal and vertical accuracy of the DEMs generated from each of the four sources were computed while the paired sample t-test was conducted to ascertain the existence of statistically significant difference between the means of the X, Y, and Z coordinates of the check points. The result obtained shows that with a RMSE of -0.0101499 and horizontal accuracy of -0.175674686m, the planimetric coordinates extracted from 2 m LiDAR DEM were more accurate than the planimetric coordinates extracted from the UAV based DEMs while the UAV based DEMs proved to be more accurate than the 2m LiDAR DEM in terms of altimetric coordinates, though the DEM generated from UAV images acquired at 50 m altitude gave the most accurate result when compared with the vertical accuracy obtained from the DEM generated from UAV images acquired at 30 m and 70 m flight heights. These findings are also consistent with the result of the statistical analysis at 95% confidence interval.
Land Provision for Decent and Affordable Housing for Low-Income Community in Salatiga City S Sunarti; Nany Yuliastuti; I Indriastjario
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.113-121

Abstract

The needs land for urban housing construction was increasingly difficult andmore pricey, so for low-income communities for able owned a house was not easy.Limited of land in an urban area, especially in small cities such as Salatiga, its land wasnot all can be used in housing constructions. This condition needed an interventionfrom the local government to facilitate their needs for housing could be fulfilled. Basedon the problems, the goals of this research studied a providing of land for decent andaffordable housing for low-income communities in Salatiga. The method used was amixed method with a sequential explanation strategy, that is by overlaying secondarydata on the land potential map from various sources that can be used for decenthousing with primary data, such as interview and document review with localgovernment to reduce of housing cost. The results of the study figure out that housingused a land owned by the village government can be affordable for low-incomecommunities with price less expensive below the standard set by the government.
The Integration of Transportation Route of Industrial Area and Lurik Tourism for Production and Sales Optimization Galing Yudana; Istijabatul Aliyah; Rara Sugiarti
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.81-88

Abstract

The development of industrial and tourism areas brings the consequences of the arrangement of transportation routes. As an industrial area as well as lurik tourism, Klaten District becomes the research location with the aim to know the mapping of access and integration of industrial transportation and lurik tourism route in order to optimize production and sales. The method employed in this research was digital mapping through GIS, and super impos analysis of mapping results to get integrated integration. The results reveal that transportation routes naturally form a pattern of industrial circulation with the orientation of efficiency and independence of distribution and sales of lurik products. Meanwhile the pattern of tourism circulation is formed with the orientation of interconnection between industry and tourism support facilities. The established integration can be optimized through the implementation of thematic tourism concepts by integrating smoothness, security, and easy access point between industries and lurik tourism.
Modelbuilder and Unit Hydrograph for Flood Prediction and Watershed Flow Direction Determination at The West Branch of The Little River, Stowe, Lamoille County, Vermont, USA Florence Elfriede S. Silalahi; Fahrul Hidayat
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.89-98

Abstract

The West Branch of the Little River in Stowe, Lamoille County, Vermont has been widely studied, and this area is regularly subject to flooding. The West Branch joins the Little River, which flows into the Winooski and drains into Lake Champlain. This area has undergone extensive development as an economic response to the ski resort industry over the past 50 years, and the recreational pathway is on the banks of the river. The Little River is adjusting to the loss of historic floodplain area, channel modifications (straightening and gravel mining), and runoff changes. In this project, a DEM with 10 and 30 meters resolution will be used to determine the watershed area for the outlet point at the south of Stowe for hydrological analysis. This project intends to describe the watershed flow direction with a unit hydrograph that shows when water discharge at the outlet is at its height during a rainfall event and produce the floods prediction map by predicting the nature of flood events to help in planning and responding to flood events effectively using ArcGIS Pro 2.0. The results show the time it takes water to flow to the outlet ranges from 0 seconds (rain that falls on the outlet itself) to over 8 hours and 46 minutes. The amount of water has accumulated, indicating that water will flow at its fastest when funneling toward the outlet point downstream of the town with no exception, indicating that water will flow at its fastest when funneling toward the outlet point downstream of the town.
Flood Vulnerability, Land Use Relationship and Topographic Information Assessment in Ibadan, Oyo State Nigeria Adewuyi, Kehinde Gbola
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019): April (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.%p

Abstract

This study assesses the flood Vulnerability, land use relationship and Topographic Information of Ibadan Metropolis consisting of eleven local Government areas namely; Ibadan North, Ibadan North East, Ibadan North West, Ibadan Southeast, Ibadan Southwest, Akinyele, Egbeda, Ido, Lagelu, Ona-Ara and Oluyole of Oyo State, Nigeria using geospatial analysis with the objective of analysing the areas vulnerable to flood, land cuse/land cover, determine the topography of water flow and identifying the water shed of Ibadan...............
The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia R Agung Pangarso; R Suharyadi; R Rijanta
Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.6.2.99-112

Abstract

Urbanization creates opportunities for Indonesia, potentially to boost economic growth and create vibrant cities (metropolitan). Urbanization and agglomeration economies should be an important element in Indonesia‘s development as a mid-income country. Manufacturing industry becomes a dominant economic sector in metropolitan area such as Semarang that shows urbanization-industrialization relationship. Industrial agglomeration potentially induces socio-economic changes in the region. To prepare these changes, it is important to understand the spatial dynamics of agglomeration and predict its determinants locally. This paper aims to answer questions related to the spatial patterns and determinants of industrial agglomeration in Semarang Regency, a periphery of Semarang metropolitan. Nearest Neighbor Analysis is used to identify spatial patterns, followed by Ellison and Glaeser Index to measure agglomeration strength, and Specialization Index to measure industrial specialization. Geographically Weighted Regression is used to identify determinants of agglomeration. Analysis uses geographical database of Large and Medium Industries in 2016 and related sub-district based data. Result shows 11 of 21 sub-sectors of industries geographically form clustered (agglomerated) pattern. Six of them are strongly agglomerated (most localized). High specializations in these six sub-sectors occur in 14 sub-districts. Result obtains a significant spatial regression model explains the effect of independent variables simultaneously occurring in three sub-sectors: beverages; wearing apparel; wood and products of wood and cork, except furniture, articles of straw and plaiting materials. Partially, industrial agglomeration by three sub-sector’s specializations in sub-district level is determined by variables: industrial employment; vocational school; Gross Regional Domestic Product; population; arterial road; agricultural land availability; and agricultural households.

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