scholarly journals Spatial Analysis and Fuzzy Relation Equations

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Ferdinando Di Martino ◽  
Salvatore Sessa
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Geographical Area ◽  
Fuzzy Relation ◽  
Geographical Information ◽  
Fuzzy Relation Equations ◽  
The Impact

We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a Geographical Information System (GIS) tool, and the geographical area under study is divided in homogeneous subzones (with respect to the parameters involved) to which we apply our process to determine the symptoms after that an expert sets the SFRE with the values of the impact coefficients. We find that the best solutions and the related results are associated to each subzone. Among others, we define an index to evaluate the reliability of the results.

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

Applications of Geographical Information System in E-Government

2011 ◽  
pp. 80-86
Author(s):  
Y. Yongling
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Real World ◽  
Spatial Data ◽  
Geographical Information ◽  
The Real ◽  
Definition Of ◽  
At Will

Geographical information system (GIS) is one kind of information system that handles spatial data. It is difficult to give one definitive definition about GIS (Heywood, Cornelius, & Carver, 2002; Maguire, Goodchild, & Rhind, 2001). This variety of definitions can be explained by the fact that any definition of GIS will depend on who is giving it, and their background and viewpoint (Pinkles, 2002). The complete definition of GIS is selected here as: “a set of tools for collecting, storing, retrieving at will, transforming, and displaying spatial data from the real world for a particular set of purposes”(Burrough, 1986, p. 6). As an important part of e-government, is that it has functions of cartography, manages spatial data and spatial analysis.

scholarly journals Software solution for the mine subsidence prediction based on the stochastic method integrated with the GIS

2020 ◽  
pp. 1-16
Author(s):  
Nenad Vušović ◽  
Milica Vlahović ◽  
Milenko Ljubojev ◽  
Miljan Vlahović ◽  
Daniel Kržanović
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Computer Program ◽  
Geographical Information System ◽  
Land Surface ◽  
Geographical Information ◽  
Ground Subsidence ◽  
Deformation Prediction ◽  
New Approach ◽  
The World

Mining induced the ground subsidence and consequently, damages on objects above excavation works is a serious problem all over the world. In this paper, a new approach for subsidence and deformation prediction based on the stochastic Pataric-Stojanovic method is presented. Since the calculation using the equations of this method is very complex, the original computer program package with the title MITSOUKO has been purposely designed. The MITSOUKO program enables calculating at any point of the land surface and representing the results owing to the possibility of their integration and further processing in the Geographical Information System (GIS). The components of the GIS are used to realize the spatial analysis.

ULVS XXVII: Mapping and Spatial Analysis of the Libyan Valleys Data using GIS

1995 ◽  
Vol 26 ◽  
pp. 49-78 ◽  
Author(s):  
C. P. J. Flower ◽  
D. J. Mattingly
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Survey Data ◽  
Final Section ◽  
Geographical Information ◽  
New Approach ◽  
Site Distribution ◽  
Mapping Tool ◽  
The Way

AbstractThis article presents a new approach to the analysis of the UNESCO Libyan Valleys Survey data, using a Geographical Information System (GIS) for mapping and spatial analysis of site distribution. The first section of the article describes the way in which the GIS was compiled and linked to the computerised gazetteer database. The second section demonstrates the use of the system as a mapping tool, shedding new light on the settlement trends in the region through time. The final section of the article explores in greater depth some aspects of its potential in sophisticated spatial analysis.

scholarly journals Geographical information system (GIS) as a new tool to evaluate epidemiology based on spatial analysis and clinical outcomes in acromegaly

Pituitary ◽  
2013 ◽  
Vol 18 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Luciana Ansaneli Naves ◽  
Lara Benigno Porto ◽  
João Willy Corrêa Rosa ◽  
Luiz Augusto Casulari ◽  
José Wilson Corrêa Rosa
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Clinical Outcomes ◽  
Geographical Information System ◽  
Geographical Information

scholarly journals Assessment of Impact of Aquaculture on Mangrove Environments in the South East Coast of India Using Remote Sensing and Geographical Information System (GIS)

2007 ◽  
Vol 20 (4) ◽  
Author(s):  
M. JAYANTHI ◽  
L. GNANAPZHALAM ◽  
S. RAMACHANDRAN
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographical Information System ◽  
Rapid Development ◽  
Geographical Information ◽  
Agricultural Lands ◽  
Shrimp Culture ◽  
Fallow Lands ◽  
Liss Iii ◽  
The Impact

Rapid development of aquaculture in coastal areas has raised worldwide concern on its potential role in mangrove habitat loss. This study is an attempt to assess the impact of shrimp aquaculture on the mangroves eco systems. The land resources used for aquaculture development were mapped from satellite data and analysed using Geographical Information System (GIS) to assess the extent of conversion from different land types to aquaculture. The digital data from Landsat -TM of 1987, IRS 1B - LISS II of 1994, IRS 1C- LISS III of 1998 and IRS - 1D LISS III of 2004 were used for the study. Aquaculture area has increased from 6.91 ha in 1987 to 386.33 ha in 2004. Change detection analysis using GIS indicated that mangroves of 4.84 ha and degraded mangroves of 6.16 ha were converted for aquaculture. Major development of aquaculture has occurred from agricultural lands (176.99 ha) and fallow lands (234.25 ha). Forest plantation of 21.68 ha, mudflats of 23.63 ha, water bodies of 18.13 ha and sandy areas of 60.87 ha were converted for aquaculture between 1987 and 2004. The aquaculture farms of 15.03 ha, converted from agricultural lands were reconverted back to agriculture due to disease problems. The shrimp culture practiced in 109.47 ha was abandoned and lying as fallow lands. Mangroves at Pichavaram were not affected due to the development of shrimp culture. The study indicated that remote sensing and GIS techniques are ideally suited to the task of assessing changes in the mangrove environments due to aquaculture and have the potential to contribute for sustainable aquaculture.

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