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Journal articles on the topic 'Geographic information system'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Srikanth, Dr Geetha. "Geographic Information System (GIS) in Public Health." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (2016): 1–2. http://dx.doi.org/10.58739/jcbs/v06i1.7.

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Remote sensing and geographic information system (GIS) are a potential enabling technolo-gy used in public health. With the precise geo-graphic location of the incident these technolo-gies are potentially useful for infectious dis-ease surveillance and control of vector borne diseases. GIS is a computer system for captur-ing and displaying data related to positions on earth’s surface. Since many different kinds of data are shown on a map one can analyze their patterns and relationships

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2

Fan, Yong-wen, Wei-jun Zhu, and Shao-huan Ban. "Mimic Geographic Information System." E3S Web of Conferences 78 (2019): 03005. http://dx.doi.org/10.1051/e3sconf/20197803005.

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With the development of the Internet, the geographic information system gets a chance to develop rapidly. Aiming at the security problems of existing geographic information systems, a Mimic Geographic Information System, i.e. M-GIS, based on mimic defense is proposed to improve the security of geographic information systems. The system consists of heterogeneous redundancy geographic information execution bodies pool, request distributor, scheduler and arbiter. Firstly, the scheduler dynamically selects the geographic information execution bodies set for processing, and then makes a mimic decis

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3

Harvey, Francis. "From Geographic Holism to Geographic Information System." Professional Geographer 49, no. 1 (1997): 77–85. http://dx.doi.org/10.1111/0033-0124.00058.

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4

Hess, Ronald L., Ronald S. Rubin, and Lawrence A. West. "Geographic information systems as a marketing information system technology." Decision Support Systems 38, no. 2 (2004): 197–212. http://dx.doi.org/10.1016/s0167-9236(03)00102-7.

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5

Patil, Mrs Shweta, and A. R. Kambekar. "Floodplain Mapping Using Hydraulic Simulation and Geographic Information System." Indian Journal Of Science And Technology 15, no. 39 (2022): 2027–36. http://dx.doi.org/10.17485/ijst/v15i39.1056.

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6

Unel, F. B., I. B. Gundogdu, and S. Yalpir. "The Impact of Multimedia Geographic Information System in Tourism." International Journal of Computer Theory and Engineering 7, no. 1 (2014): 81–85. http://dx.doi.org/10.7763/ijcte.2015.v7.935.

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7

Veshtort, A. M., S. I. Kashkevich, S. B. Kostyukevich, V. V. Krasnoproshin, and S. G. Sinyakovich. "A GEOGRAPHIC INFORMATION SYSTEM FOR PHYSICAL-GEOGRAPHIC REGIONALIZATION." Mapping Sciences and Remote Sensing 25, no. 4 (1988): 284–90. http://dx.doi.org/10.1080/07493878.1988.10641729.

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8

WANG, Xiao-Jun. "Participatory geographic information system review." Chinese Journal of Eco-Agriculture 18, no. 5 (2010): 1138–44. http://dx.doi.org/10.3724/sp.j.1011.2010.01138.

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9

Koeva, M. "GEOGRAPHIC INFORMATION SYSTEM – TOBEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W1 (May 6, 2013): 37–40. http://dx.doi.org/10.5194/isprsarchives-xl-4-w1-37-2013.

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10

Varushenko, S. S. "Domestic Geographic Information System AXIOM." Geodesy and Cartography 906, no. 13 (2016): 32–33. http://dx.doi.org/10.22389/0016-7126-2015-32-33.

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ORIKASA, Kouhei, and Hiroshi MURAKAMI. "Outline of Geographic Information System." Journal of Veterinary Epidemiology 3, no. 2 (1999): 101–6. http://dx.doi.org/10.2743/jve.3.101.

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12

KUBO, Sachio. "Multi-media Geographic Information System." Journal of the Japan society of photogrammetry and remote sensing 30, no. 6 (1991): 47–53. http://dx.doi.org/10.4287/jsprs.30.6_47.

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13

Ibragimova, Elina I. "GEOGRAPHIC INFORMATION SYSTEM DATA MODELS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 9/12, no. 150 (2024): 86–91. https://doi.org/10.36871/ek.up.p.r.2024.09.12.014.

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Data models are the core of geographic information systems (GIS). Currently, many GIS data models have been proposed, and many concepts have emerged that are easily confused. This article summarizes the basic concepts and theories of data models in the field of geographic information systems, as well as compares and analyzes data models and some related concepts. The concept of data modeling is discussed and the three values it contains are analyzed. Three levels of data model abstraction are explained and analyzed, the geographic information system data model is classified according to variou

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14

Terrell, T. J. "Building a geographic information system." IEEE Computer Applications in Power 4, no. 3 (1991): 50–54. http://dx.doi.org/10.1109/67.85964.

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15

Dewa, P., B. Mulyanti, and I. Widiaty. "Geographic information system in education." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 042097. http://dx.doi.org/10.1088/1757-899x/830/4/042097.

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16

Jones, Les, and Doug Mills. "TAMESIS: a geographic information system." ITNOW 30, no. 4 (1988): 14–17. https://doi.org/10.1093/combul/30.4.14.

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Abstract TAMESIS, (Thames Asset Management and Enrironmental Support Information System), is the acronym recently adopted for Thames Water’s bespoke development of IBM’s Geo-Facilities Information System. The Rivers Division of Thames was given priority for system development and is now poised to reap the benefits of this major investment. Rivers Division, which will shortly form the core of the regional unit of the proposed National Rivers Authority, is responsible for the management of 4,000 km of river in a catchment of some 13,000 sq km. Its major functions are flood alleviation/land drain

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17

DJAMALUDDIN, IBRAHIM, POPPY INDRAYANI, YASUHIRO MITANI, SHUICHIRO TAGANE, and TETSUKAZU YAHARA. "GEOGRAPHIC INFORMATION SYSTEM (GIS) WEB SERVER FOR BIODIVERSITY INFORMATION SYSTEM." REINWARDTIA 14, no. 2 (2016): 249. http://dx.doi.org/10.14203/reinwardtia.v14i2.1668.

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DJAMALUDDIN, I., INDRAYANI, P., MITANI, Y., TAGANE, S. & YAHARA, T. 2015. Geographic Information System (GIS) web server for biodiversity information system. Reinwardtia 14 (2): 249 - 258. - Ecological protection strategies, designed by sharing information and integrating data, play an important role in defining interconnections and interdependencies in research as well as in increasing global awareness. The Geographic Information System (GIS) web server is one technology solution to improve the interoperability and sharing between the biodiversity databases of an organization and the data

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18

Tongkaw, Sasalak. "Management Information Systems and Geographic Information System for Managing Durian Resources." Annals of Emerging Technologies in Computing 5, no. 5 (2021): 41–50. http://dx.doi.org/10.33166/aetic.2021.05.005.

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The objective of this research is to develop the data for durian resources with a data collection system via the web-based system and the development of geographic information systems for durian resource management, and the local wisdom of Thai durian gardeners by designing the implement in the same database system, then presenting the durian data in southern Thailand by linking the geographic information system visualization to the map. In this research, the system method is designed using the System Development Life Cycle (SDLC), which includes six steps: requirement gathering and analysis,

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19

Bizjak, Igor. "More than a Geographic information system." Urbani izziv 19, no. 1 (2008): 104–9. http://dx.doi.org/10.5379/urbani-izziv-en-2008-19-01-012.

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20

Subarkah, Krisna, and Muhammad Lulu Latif Usman. "Tourist Geographic Information System in Baturaden." Journal of Informatics, Information System, Software Engineering and Applications (INISTA) 4, no. 2 (2022): 55–63. http://dx.doi.org/10.20895/inista.v4i2.529.

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As the largest archipelago country in the world, Indonesia has many tourist attractions. One of the tours in Indonesia is tourism in the Baturaden area. To increase tourism promotion and management, a supporting application is needed, one of which is by using WebGIS. This WebGIS application is then used as a medium for spatial information for mapping tourism in Baturaden. The method used in this research is to use the Agile model development method using BlackBox testing. The results of this study are in the form of a WebGIS application prototype for tourism mapping in Baturaden, which is decl

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21

Burke, Robin, Penny Masuoka, and K. Darwin Murrell. "SwineTrichinellaInfection and Geographic Information System Tools." Emerging Infectious Diseases 14, no. 7 (2008): 1109–11. http://dx.doi.org/10.3201/eid1407.071538.

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22

Smyrnew, John M. "Trends in Geographic Information System Technology." Journal of Surveying Engineering 116, no. 2 (1990): 105–11. http://dx.doi.org/10.1061/(asce)0733-9453(1990)116:2(105).

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23

Ahmad, Imran, Mithas Ahmad Dar, Tesfa Gebrie Andualem, and Afera Halefom Teka. "Groundwater development using geographic information system." Applied Geomatics 12, no. 1 (2019): 73–82. http://dx.doi.org/10.1007/s12518-019-00283-6.

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24

Muthanna, Gawaher, and M. S. M. Amin. "Irrigation planning using geographic information system." Management of Environmental Quality: An International Journal 16, no. 4 (2005): 347–61. http://dx.doi.org/10.1108/14777830510601226.

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25

Shishinashvili, Manuchar Tamazovich. "MOTOR ROADS AND GEOGRAPHIC INFORMATION SYSTEM." Theoretical & Applied Science 54, no. 10 (2017): 59–61. http://dx.doi.org/10.15863/tas.2017.10.54.13.

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26

Pramuditha Shinta Dewi Puspitasari, Arvita Agus Kurniasari, and Trismayanti Dwi Puspitasari. "Geographic Information System Mapping of Plantation." Journal of Applied Science, Engineering, Technology, and Education 4, no. 2 (2022): 210–22. http://dx.doi.org/10.35877/454ri.asci1162.

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Perusahaan Daerah Perkebunan (PDP) Kahyangan is a Regional Owned Enterprise in Jember Regency which was formed to realize the prosperity of the community. In Regional Regulation Number 2 of 2012-chapter 3 clauses 2, the government can manage regional finances by exploring sources of Regional Original Income, one of which is from the PDP. In addition, the purpose of the establishment of the PDP is as a means of developing the economy in the context of regional development by increasing productivity from all aspects to increase regional income. The main commodities are coffee and rubber, cloves,

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27

Morehouse, Scott. "The ARC/INFO geographic information system." Computers & Geosciences 18, no. 4 (1992): 435–41. http://dx.doi.org/10.1016/0098-3004(92)90073-z.

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28

KIRIMURA, Takashi. "Yano, K.: GIS: Geographic Information System." Geographical review of Japan series A 95, no. 3 (2022): 227–28. http://dx.doi.org/10.4157/grj.95.227.

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29

He, Shaofu, and Fei Li. "Artificial Neural Network Model in Spatial Analysis of Geographic Information System." Mobile Information Systems 2021 (October 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/1166877.

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In the past two decades, the computer technology industry has developed rapidly, and the geological prospecting industry is also undergoing a computerized and electronic revolution. The application technology of new geological information systems is gradually adding us to the spatial information system of geological prospecting projects. In order to deeply study the current situation of the artificial neural network model in the spatial analysis of our country’s geographic information system, this paper uses the traditional classification analysis method; database analysis and neural network a

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30

Ramadhani, Nur Rachmat Fajar, Eka Prasetyaningrum, and Lukman Bachtiar. "Sistem Informasi Geografis Apotek di Kotawaringin Timur Berbasis Web." Building of Informatics, Technology and Science (BITS) 2, no. 2 (2020): 141–50. http://dx.doi.org/10.47065/bits.v2i2.549.

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Geographical Information System is an information system that is specialized in processing data that has spatial information (spatial reference). In a narrower sense, a Geographical Information System is a computer system that has the ability to build, store, manage and display geographic information, for example, data that is identified according to its location in a database. The purpose of this geographic information system is to find out information on the location of the distribution of pharmacies and drug data information in East Kotawaringin, so as to help people and people who are not

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31

Pollock, Richard J., and John D. McLaughlin. "Data‐Base Management System Technology and Geographic Information Systems." Journal of Surveying Engineering 117, no. 1 (1991): 9–26. http://dx.doi.org/10.1061/(asce)0733-9453(1991)117:1(9).

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32

Limgomonvilas, Teerawate. "Integrated geographic information systems for agricultural drip system development." Journal of Applied Science 16, no. 2 (2017): 65–78. http://dx.doi.org/10.14416/j.appsci.2017.11.003.

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33

Zeniarja, Junta, Ardytha Luthfiarta, and Catur Supriyanto. "Naive Bayes Classifier Based Geographic Information System for University Search Information." Journal of Applied Intelligent System 2, no. 2 (2018): 73–79. http://dx.doi.org/10.33633/jais.v2i2.1587.

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Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web

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34

Whei-Min Lin, Ming-Tong Tsay, and Su-Wei Wu. "Application of geographic information system to distribution information support." IEEE Transactions on Power Systems 11, no. 1 (1996): 190–97. http://dx.doi.org/10.1109/59.486095.

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35

Hassan, R. F., and M. S. Mohammed. "Information Hiding Using Geographic Information System (GIS) Vector File." Engineering and Technology Journal 35, no. 2B (2017): 182–88. http://dx.doi.org/10.30684/etj.2017.138666.

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36

Gao, Zhao Zhong, and Hai Xia Wei. "Implementation of Urban 3D Geographic Information System." Advanced Materials Research 926-930 (May 2014): 721–24. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.721.

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With the digital development of city construction, the construction of three-dimensional Geographic Information System plays an important role for the urban construction planning and decision-making. 3D urban planning geographic information management systems need to be able to put different spatial data, information of urban construction, urban planning information into the same platform. The integration of information resources whick provids a variety of spatial information based on the intelligent application services is the core. This article puts urban planning geographic information mana

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37

Nengsih, Warnia. "Forecasting Analysis on Land Detection System Based on Geographic Information System." IJITEE (International Journal of Information Technology and Electrical Engineering) 1, no. 3 (2018): 71. http://dx.doi.org/10.22146/ijitee.31954.

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Geographic Information System (GIS) is an information system that performs geographic-based data visualization. The system performs mapping between various data points based on geographical location. Difficulties in mapping land in a region is the basis for the development of GIS applications for the detection of land. This system does not only detect vacant land in a region, but it also provides identification of land, and provides information about the size of the land, the land position, as well as access to nearby public facilities. The system is developed using a mobile platform as a valu

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38

Allaw, Kamel, Jocelyne Adjizian Gerard, Makram Zouheir Chehayeb, and Nada Badaro Saliba. "Population estimation using geographic information system and remote sensing for unorganized areas." Geoplanning: Journal of Geomatics and Planning 7, no. 2 (2021): 75–86. http://dx.doi.org/10.14710/geoplanning.7.2.75-86.

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Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for unorganized areas which already suffer from a lack of population data. So, the aim of this study is the establish a statistical model for population estimation based on remote sensing data and suitable for unorganized areas. To do so, the morphological characteristics have been studied and a bivariate analysis was carried out to determine factors

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39

Agcaoili, Shirly. "Analysis on the Land Suitability for Coconut Cultivation using Geographic Information System." Indian Journal Of Science And Technology 16, no. 20 (2023): 1477–86. http://dx.doi.org/10.17485/ijst/v16i20.1199.

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40

Taravat, Alireza, Alireza Shahrjerdi, and Maryam Pourhassan. "Health geographic information system and HIV/AIDS." Indian Journal of Sexually Transmitted Diseases and AIDS 32, no. 2 (2011): 141. http://dx.doi.org/10.4103/0253-7184.85436.

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41

Bazurto, José Javier Bravo, Victor Alfonso Martínez Falcones, María Rodríguez Gámez, and María Giuseppina Vanga Arvelo. "Geographic information system for manabí sustainable development." International research journal of management, IT and social sciences 6, no. 6 (2019): 17–28. http://dx.doi.org/10.21744/irjmis.v6n6.741.

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One of the barriers that are recognized based on the sustainable development of the territories is related to the lack of information. This research aims to design a Geographic Information System for information management of Renewable Energy Sources (FRE), which improve its quality, energy efficiency and enhance the diversification of generation sources in the province of Manabí, Ecuador. Following a documentary and applied research, the proposed system will be shown through a GeoWeb where it is intended to replace the manual way of updating information regarding FRE, conventional energy sour

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42

Usmani, Raja Sher Afgun, Ibrahim Abaker Targio Hashem, Thulasyammal Ramiah Pillai, Anum Saeed, and Akibu Mahmoud Abdullahi. "Geographic Information System and Big Spatial Data." International Journal of Enterprise Information Systems 16, no. 4 (2020): 101–45. http://dx.doi.org/10.4018/ijeis.2020100106.

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Geographic information system (GIS) is designed to generate maps, manage spatial datasets, perform sophisticated “what if” spatial analyses, visualize multiple spatial datasets simultaneously, and solve location-based queries. The impact of big data is in every industry, including the GIS. The location-based big data also known as big spatial data has significant implications as it forces the industry to contemplate how to acquire and leverage spatial information. In this study, a comprehensive taxonomy is created to provide a better understanding of the uses of GIS and big spatial data. The t

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43

Chaudary, Jatin. "Use of geographic information system in dentistry." Journal of Indian Association of Public Health Dentistry 18, no. 4 (2020): 325. http://dx.doi.org/10.4103/jiaphd.jiaphd_117_20.

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44

Alattar, Mohammad Anwar, Mark Beecroft, and Caitlin Cottrill. "Geographic Information System and Atomized Transportation Modes." Encyclopedia 2, no. 2 (2022): 1069–81. http://dx.doi.org/10.3390/encyclopedia2020070.

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Transportation is a spatial activity. The geographic Information System (GIS) is the process of capturing, managing, analyzing, and presenting spatial data. GIS techniques are essential to the study of various aspects of transportation. In this entry, the state of knowledge regarding atomized transportation modes is presented. Atomized transportation modes are defined as transportation modes which deal with low passenger numbers.

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45

He, Wengting. "Geographic Information System-based watershed geomorphic mapping." DESALINATION AND WATER TREATMENT 241 (2021): 216–22. http://dx.doi.org/10.5004/dwt.2021.27565.

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46

Wiyanda, Agung, Suswanto, and F. V. Astrolabe Sian Prasetya. "Development Tourism Geographic Information System of Samarinda." TEPIAN 3, no. 1 (2022): 13–23. http://dx.doi.org/10.51967/tepian.v3i1.689.

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This research is motivated by the low level of dissemination of tourism information in the city of Samarinda. Samarinda is one of the cities with very diverse and interesting tourism potentials to explore. The beauty of the urban area and being one of the cities that is crossed by the largest river in the province of East Kalimantan, namely the Mahakam river, makes it one of the tourist destinations that has its own charm, but unfortunately at this time the tourism places in the city of Samarinda have not been widely publicized due to lack of information. About tourism that is given to the pub

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47

O’Neill, Wende A., and Elizabeth Harper. "Location Translation Within a Geographic Information System." Transportation Research Record: Journal of the Transportation Research Board 1593, no. 1 (1997): 55–63. http://dx.doi.org/10.3141/1593-08.

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Location translation allows the use of multiple spatial referencing methods within a geographic information system (GIS). Most GIS users are familiar with planar or spherical coordinates expressed as (x, y) pairs of numbers whose values reflect the map projection used. Coordinates are characterized as unique physical locations on the earth’s surface. Transportation professionals have added many methods of referencing data that occur along lines. Linear referencing systems generally reflect a measure of distance from a known point. Common linear referencing methods are route–milepoint and route

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48

Zhang, Yan, Larry Hoover, and Jihong (Solomon) Zhao. "Geographic Information System Effects on Policing Efficacy." International Journal of Applied Geospatial Research 5, no. 2 (2014): 30–43. http://dx.doi.org/10.4018/ijagr.2014040103.

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GIS technology is credited with substantially improving police crime analysis and related resource allocation. Although GIS has been said to be an efficient and effective technology in policing, limited empirical assessment has been conducted. An examination of functions and a review of the literature suggests four major applications of GIS in policing: computerized crime mapping/crime analysis; “hot spots” identification; improving command-level decision making; and geographical investigative analysis (primarily offender profiling). The primary objective of this qualitative review is to ident

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49

Kursah, Matthew Biniyam. "Least-Cost Pipeline using Geographic Information System." International Journal of Applied Geospatial Research 8, no. 3 (2017): 1–15. http://dx.doi.org/10.4018/ijagr.2017070101.

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Increasing demand for water in Wapuli and its environ led to a proposal to construct a pipeline to link the town to an existing water plant. This paper developed a geospatial model incorporating multi-criteria analysis involving technical factors such as slope, landcover, watercourses, distance to roads and soil types to determine a least-cost path for the pipeline. However, the first least-cost path passes through a tiny sacred grove near Moadani dam, necessitating the generation of a second least-cost path by considering sacred groves as constraint. The result showed that the least-cost path

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50

Kimuro, Yoshihiko, Ryou Araya, Daisaku Arita, Takafumi Ienaga, Kouji Murakami, and Zhimei Yang. "R-GIS: Robotic and Geographic Information System." Journal of the Robotics Society of Japan 27, no. 8 (2009): 868–76. http://dx.doi.org/10.7210/jrsj.27.868.

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