scholarly journals Evaluasi alokasi Tempat Pembuangan Sampah Sementara (TPSS) di Kecamatan Denpasar Selatan dengan aplikasi GIS

2020 ◽  
pp. 1
Author(s):  
Siti Ainur Rohmah ◽  
I Gst. A. Ayu Rai Asmiwyati ◽  
Anak Agung Gede Sugianthara
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Data Collection ◽  
Survey Methods ◽  
Geographic Information ◽  
High Population ◽  
The Road ◽  
Active Approach ◽  
The People

One of sub-district in Denpasar that still faces garbage problems is South Denpasar which is due to its high population. The population of South Denpasar is 286,060 people. Based on the data obtained, each individual can dispose up to 0.004 m³ garbage each day. This the volume of waste in the population of South Denpasar Sub-district each day is 1,144.24 m³. However, the amount of waste has not been accommodated well within the number of existing landfills. This study aim is to determine the location of landfill in South Denpasar District. The variables used to determine the suitability of the landfill location are the road to the location, the distance of landfill to the river, land use, land availability and regional boundaries. The number of was determine by points in South Denpasar, amount of waste each day, number of existing population, perceptions and preferences of the people of South Denpasar. The analysis of landfill location was run by using a geographic information system (GIS). This research uses survey methods and data collection with an active approach of activities carried out on the site. The results of the analysis showed that there were 11 landfills recommendations. The location of these recommendations is in the immediate area of reach, which is within 1-2 km.

Implementation of A-Star Algorithm for Searching Routes Near the Tsunami Evacuation Shelter Point

2020 ◽  
Vol 4 (2) ◽  
pp. 254-259
Author(s):  
Renita Astri ◽  
Sularno
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Distance Estimation ◽  
Geographic Information ◽  
High Population

District of West Padang which is the area closest to the coast and has a high population. Therefore a geographic information system was created using the A-Star Algorithm method. The A-Star algorithm uses the closest distance estimation to reach a goal and has a heuristic value that is used as a basis for consideration. In this system there are alternative paths and show the amount of capacity and distance from the shelter to be addressed.

scholarly journals Automated Classification of Agricultural Lands Using GIS and NES

2018 ◽  
Vol 7 (4.38) ◽  
pp. 1146
Author(s):  
V. K. Kalichkin ◽  
A. I. Pavlova ◽  
A. F. Petrov ◽  
V. A. Smolyakov
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Interpolation Method ◽  
Ground Surface ◽  
Geographic Information ◽  
Automated Classification ◽  
Stream Power ◽  
Stream Power Index

The article proposes the methodology for the automated classification of uplands using Geographic Information System (GIS) and Neural Expert System (NES). Quantitative indicators of topography are used as the basis of the proposed classification. A database consisting of topographic, soil, and land use maps was created using ArcGIS 10 geographic information system. A topologically correct digital elevation model (DEM) was created by the ANUDEM interpolation method. The DEM contains the following maps: hypsometric, steepness and slopes exposure, plan, profile, common curvature of the ground surface, and cumulative runoff maps. The boundaries of elementary surfaces (ES), which are homogeneous morphological formations, are established. Parameters characterizing the Stream Power Index (SPI) are taken into account. The essence of the proposed classification consists in attributing of ES to a certain group of lands based on aggregate of features. To do this, partial scales were created, containing indicators of topography, soil cover, land drainage conditions, as well as the degree of erosion development. The authors formed knowledge base for traning the NES using GIS database and partial scales of estimates. Teaching of neural network was carried out. The classification and topology of land was carried out by means of the NES. The uplands are distributed in flat and slightly convex areas. They are characterized by the following indicators: the curvature of the ground surface: plan curvature (0 – 0.03), profile curvature (0 – 0.15), common curvature (0 – 0.22); slope angles (less than 1.5о); horizontal dissection in elevation (less than 0.5 km/km2), vertical dissection (less than 5 m); and SPI (from -13.80 to -6.47). Electronic map of uplands of LLC «Salair» land-use area was created in the ArcGIS 10 environment.  

scholarly journals The Use of Remote Sensing and Geographic Information System Techniques to Determine Relationships between Land Use and Landform

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Tülay TUNÇAY ◽  
İlhami BAYRAMİN ◽  
Hasan Sabri ÖZTÜRK ◽  
Mümtaz KİBAR ◽  
Oğuz BAŞKAN
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information

Calculation of Land Consolidation Potential Based on GIS

2014 ◽  
Vol 580-583 ◽  
pp. 2769-2773
Author(s):  
Yan Hua Liu ◽  
Wei Qing Chen
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Land Consolidation ◽  
Cultivated Land ◽  
Thematic Maps ◽  
Residential Land ◽  
Rural Residential Land ◽  
In Virtue Of

Through the analysis of land use actuality, this paper summarizes the characteristics of land use, in virtue of geographic information system (GIS) platform, the database of land consolidation is constructed, combining with different calculation models of cultivated land and rural residential land consolidation potential, the consolidation potentials of cultivated land and rural residential land are calculated, and the thematic maps about land consolidation potential of each village and town in study area are mapped out. The results show that the land consolidation areas are mainly concentrated in the middle of study area.

Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?

2018 ◽  
Vol 15 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Jerome N. Rachele ◽  
Vincent Learnihan ◽  
Hannah M. Badland ◽  
Suzanne Mavoa ◽  
Gavin Turrell ◽  
...  
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Public Transport ◽  
Multinomial Logistic Regression ◽  
State Level ◽  
Geographic Information ◽  
Transport Services ◽  
Spatial Measures ◽  
Traffic Volumes

Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.

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