scholarly journals GEOGRAPHICAL INFORMATION SYSTEM (GISy) IMPLEMENTATION WITHOUT GEOGRAPHICAL INFORMATION SCIENCE (GISc) FUNDAMENTAL

2021 ◽  
Vol 10 (2) ◽  
pp. 807-815
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Professional Training ◽  
Information Science ◽  
Rapid Development ◽  
Geospatial Data ◽  
Geographical Information ◽  
Basic Knowledge ◽  
The Impact

This article reviews the use of Geographical Information System (GIS) has been primarily applied in spatial decision making from simple to complex geospatial problems. GIS is usually referred to as a computer system used explicitly to store, manage, analyze, manipulate, and visualize geospatial data. GIS can produce meaningful information for a better understanding of solving related geographic/spatial problems. With the technology, hardware, and software assistance, GIS is at its progressive pace even though GIS starts with a simple and straightforward question of geographic features/event location. This rapid development has made GIS and spatial data becoming a critical commodity today. However, without the basic knowledge and GIS understanding, the actual GIS capabilities, such as understanding geographical concepts, managing geographic phenomena, and solving geographical problems, become limited. To become worse, GIS is was seen as a tool to facilitate map display and simple spatial analysis. Furthermore, the market's professional training emphasizes simple GIS components such as hardware, software, geospatial data mapping, extracting geographical data from tables (tabular data), simple queries or display, and spatial data editing mastered using GIS manuals in training. Thus, this article highlights the impact of implementing GIS without sufficient GIS fundamental knowledge, resulting in complicated spatial decision planning issues.

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.

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.

Research on Visualization of Spatial Data and Symbols Based on ArcGIS

2012 ◽  
Vol 241-244 ◽  
pp. 3107-3111
Author(s):  
Xu Dan Sun
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Geographical Information ◽  
Space Environment ◽  
Point Line

To the problem of visualization expression, under the ArcGIS space environment, I use the ArcObjects components to do the symbols allocation and visualization expression for spatial data and point, line and polygon target. Result shows that it has finished the visualization effect of spatial data and symbols in the geographical information system.

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.

The Design of the DEAFIN Web-Geographical Information System

2011 ◽  
pp. 142-168 ◽  
Author(s):  
Fabio A. Schreiber ◽  
Alberto Belussi ◽  
Valeria De Antonellis ◽  
Maria G. Fugini ◽  
Letizia Tanca ◽  
...  
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Web Sites ◽  
Spatial Data ◽  
Relevant Information ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Web Gis ◽  
Geographical Information ◽  
Data Publishing

The design of a Web-geographical information system strongly requires methodological and operational tools to deal with information distributed in multiple, autonomous and heterogeneous data sources, and a uniform data publishing methodology and policy over Internet web sites. In this chapter, we describe our experience for the activities of requirement analysis and conceptual design of the DEAFIN Web-geographical information system whose objective is to improve the quality and the comparability of information about available industrial vacant sites, coming from different regional data sources. Heterogeneity and web availability requirements have been taken into account in the system architecture design. The DEAFIN system is thus conceived as a federated web-based information system, capable of managing and providing access to all the regional relevant information in an integrated and complete fashion. Furthermore, since the data available by a given DEAFIN region partner can be both spatial data and alphanumeric data, for each regional component system in the DEAFIN system, a Web-GIS system is defined.

scholarly journals GeoCREV: veterinary geographical information system and the development of a practical sub-national spatial data infrastructure

2011 ◽  
Vol 5 (2) ◽  
pp. 275 ◽  
Author(s):  
Nicola Ferrè ◽  
Paolo Mulatti ◽  
Matteo Mazzucato ◽  
Monica Lorenzetto ◽  
Matteo Trolese ◽  
...  
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Spatial Data Infrastructure ◽  
Geographical Information ◽  
Data Infrastructure

scholarly journals IMPLEMENTASI ALGORITMA BRUTE FORCE PADA PENCARIAN DATA KEPEMILIKAN TANAH

KOMPUTEK ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 101
Author(s):  
Reza Risky Khamdani ◽  
Indah Puji Astuti ◽  
Fauzan Masykur
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Search Time ◽  
Land Ownership ◽  
Geographical Information ◽  
Brute Force ◽  
Process Data ◽  
Land Registration ◽  
Improve Design

Geographical information system is a system that combines elements on a map that is prepared to process data, analyze, and display spatial data to improve design. In the era of technology, information and communication (ICT) for organizations, agencies and public services is very important and needs to be implemented immediately. ATR / BPN in Jonggol village, Jabon, Ponorogo, still uses the manual method in processing certified land registration. The process of seeking, processing, and collecting certificate data requires a lot of time, causing services to be inefficient and effective and community satisfaction also decreasing. Therefore, a technology is needed that can facilitate service officers to search for certified land ownership data by implementing the brute force algorithm in the Geographical Information System for certified land ownership. The application of Algortima Brute Force in this geographic information system can run well, but if the text characters are long inputted, the system search process will take longer (if the text is short, the search can run quickly). On 10 keywords with different keyword or character lengths, the average search time was 0.06335 seconds.

A Framework for the Areal Interpolation of Socioeconomic Data

1993 ◽  
Vol 25 (3) ◽  
pp. 383-397 ◽  
Author(s):  
M F Goodchild ◽  
L Anselin ◽  
U Deichmann
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Spatial Data ◽  
Geographical Information ◽  
Areal Interpolation ◽  
Spatial Objects ◽  
Basis Change ◽  
Socioeconomic Data ◽  
Made In

Spatial data are collected and represented as attributes of spatial objects embedded in a plane. Basis change is defined as the transfer of attributes from one set of objects to another. Methods of basis change for socioeconomic data are reviewed and are seen to differ in the assumptions made in each about underlying density surfaces. These methods are extended to more general cases, and an illustration is provided by using Californian data. The implementation of this framework within a geographical information system is discussed.

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