Spatial Autocorrelation and Association Measures

2011 ◽  
pp. 1502-1508
Author(s):  
J. Negreiros ◽  
M. Painho ◽  
I. Lopes ◽  
A.C. Costa
Keyword(s):  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Regional Analysis ◽  
Geographical Information ◽  
Association Measures ◽  
Share Data ◽  
Definition Of ◽  
Graphic Database

Several classical statements relating to the definition of GIS can be found in specialized literature such as the GIS International Journal, expressing the idea that spatial analysis can somehow be useful. GIS is successful not only because it integrates data, but it also enables us to share data in different departments or segments of our organizations. I like this notion of putting the world’s pieces back together again (ArcNews, 2000). “GIS is simultaneously the telescope, the microscope, the computer and the Xerox machine of regional analysis and the synthesis of spatial data” (Abler, 1988). “GIS is a system of hardware, software and liveware implemented with the aim of storing, processing, visualizing and analyzing data of a spatial nature. Other definitions are also possible” (Painho, 1999). “GIS is a tool for revealing what is otherwise invisible in geographical information” (Longley, Goodchild, Maguire, & Rhind, 2001). Certainly, GIS is not a graphic database.

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.

Applications of Geographical Information System in E-Government

2011 ◽  
pp. 340-348
Author(s):  
Yao Yongling ◽  
Wang Junsong
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.

A Study on the Location Analysis Using Spatial Analysis and Ordered Weighted Averaging Operator Weighting Functions

2008 ◽  
Vol 12 (6) ◽  
pp. 529-536 ◽  
Author(s):  
Se-Woong Oh ◽  
◽  
Gyei-Kark Park ◽  
Jong-Min Park ◽  
Sang-Hyun Suh ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Fuzzy Ahp ◽  
Selection Method ◽  
Total Order ◽  
Weighted Averaging ◽  
Decision Strategy ◽  
Owa Operators ◽  
Ordered Weighted Averaging ◽  
Definition Of

In this thesis, we proposed the method combining spatial analysis, selection method of weighting values, aggregating decision strategy. To select a sites proposed for ship anchorage, we analyzed spatial data. Fuzzy AHP was used as selection method of weighting values to incorporate the fuzzy set theory and the basic nature of subjectivity due to ambiguity to achieve a flexible decision approach suitable for uncertain and fuzzy environments. To obtain the score that corresponds to the best alternative or the ranking of the alternatives, we need to use a total order for the fuzzy numbers involved in the problem. In this paper, we consider a definition of such a total order: the degree of Orness (1, 3/4, 2/3, 1/2, 1/3, 1/4, 0) reflected with the ordered weighted averaging (OWA) operators. A numerical example was given to illustrate the approach.

Spatial Analysis on Primary Healthcare Distance for Orang Asli in Batang Padang District

2019 ◽  
pp. 46
Author(s):  
Mohamad Fadli K ◽  
Rosliza AM ◽  
Muhamad Hanafiah J ◽  
Sharifah Norkhadijah SI
Keyword(s):  
Spatial Analysis ◽  
Primary Healthcare ◽  
Spatial Data ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Peninsular Malaysia ◽  
Geographical Information ◽  
Cross Sectional ◽  
Orang Asli ◽  
To Come

Introduction: A huge number of Orang Asli population live in isolated area within peninsular Malaysia. Their lack of proper road and remoteness made their access to healthcare services difficult. Batang Padang has the 22800 Orang Asli reside in the district. Primary healthcare services have been provided to this population through static clinic and mobile clinic.Objective: This study was done to determine distance of primary healthcare from Orang Asli village and their correlation with primary healthcare utilization.Methods: A cross sectional study using Geographical Information System was done using spatial data from various sources for mapping and spatial analysis. Network analysis using ArcGIS software was used to determine the distance while Spearman correlation was used to determine association between distance and primary healthcare utilization.Result: Most of Orang Asli villages located not far from main road. Mean distance from Orang Asli village to nearest primary healthcare clinic is 5.87 kilometers. Mean duration taken for Orang Asli to come to the primary healthcare clinic is either 4.71 minutes by land transportation or 70.42 minutes by walking. Orang Asli villages located in the center of the district around Bandar Tapah have short distance to primary healthcare and the distance increase as the villages located away from the center. There is significant correlation between network distance with Orang Asli attendance to clinic (r 0.203) and MMR vaccination (r 0.230). There is also significant correlation between walking duration with Orang Asli attendance to primary healthcare (r 0.178) and MMR vaccination (r 0.227).Conclusion: As the distance and duration increase for Orang Asli to get to primary healthcare, there is increase need of primary healthcare services. Planning of primary healthcare for Orang Asli should consider the distance from these villages to primary healthcare services.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 46

scholarly journals THE UNCERTAINTIES ON THE GIS BASED LAND SUITABILITY ASSESSMENT FOR URBAN AND RURAL PLANNING

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 523-530 ◽  
Author(s):  
H. Liu ◽  
Q. Zhan ◽  
M. Zhan
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Land Suitability ◽  
Geographical Information ◽  
Analysis Tool ◽  
Practical Applications ◽  
Whole Process ◽  
Suitability Assessment ◽  
Land Suitability Assessment

The majority of the research on the uncertainties of spatial data and spatial analysis focuses on some specific data feature or analysis tool. Few have accomplished the uncertainties of the whole process of an application like planning, making the research of uncertainties detached from practical applications. The paper discusses the uncertainties of the geographical information systems (GIS) based land suitability assessment in planning on the basis of literature review. The uncertainties considered range from index system establishment to the classification of the final result. Methods to reduce the uncertainties arise from the discretization of continuous raster data and the index weight determination are summarized. The paper analyzes the merits and demerits of the “Nature Breaks” method which is broadly used by planners. It also explores the other factors which impact the accuracy of the final classification like the selection of class numbers, intervals and the autocorrelation of the spatial data. In the conclusion part, the paper indicates that the adoption of machine learning methods should be modified to integrate the complexity of land suitability assessment. The work contributes to the application of spatial data and spatial analysis uncertainty research on land suitability assessment, and promotes the scientific level of the later planning and decision-making.

Analisa Spasial Pemetaan Lokasi Wisata Agro (Studi Kasus Di Lombok Barat)

2017 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Ahmat Adil
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Coffee Plantations ◽  
Community Forests ◽  
Natural Beauty ◽  
Tourism Potential ◽  
Point Line ◽  
Dimension Space

Lombok Barat is one of the districts on the island of Lombok and became a tourist destination, has the appeal of natural and cultural tourism. Conditions natural attractions consist of naturallandscapes, protected forests and community forests, beaches, plantations, and the diversity of marine potential. One element of the plantation sector which is currently untapped optimally is an agro-tourism. Agro-tourism potential is addressed from the natural beauty of the plantation and production in the plantation sector is sufficiently developed. Geographical Information Systems produces data aspects of spatial and non-spatial data. The main characteristics of the geographic information system is the ability to analyze a system such as statistical analysis and overlay called spatial analysis by adding the dimension '(space)' or geography. Spatial analysis conducted with mengoverlay two maps which then generates a new map analysis results. Spatial analysis process includes activities to create a buffer around a point (point), line (line) and area (polygon), analyzing a map with points, lines and areas with the overlay method, intersection, union, identity, and clips.  Based on the spatial analysis has been done it obtained the three locations that can be used for agro tourism, namely: a coffee plantation with an area of 9751995 m2, oil plantation area of 8.99343 million and 27.03261 million, vanilla and coffee plantations covering an area of 7,042,943 m2.

scholarly journals SeaGIS Abruzzo: A publicly available atlas of marine uses and natural resources in the Adriatic Sea Region

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Carla Ippoliti ◽  
Alessio Di Lorenzo ◽  
Riccardo Caprioli ◽  
Sandro Pelini ◽  
Annamaria Conte ◽  
...  
Keyword(s):  
Spatial Data ◽  
Adriatic Sea ◽  
Geographical Information ◽  
The European Union ◽  
Resource Exploitation ◽  
Web Based ◽  
Digital Repositories ◽  
Sea Bottom ◽  
Share Data ◽  
Cross Border Cooperation

In the Adriatic Sea, the European Union supported a cross-border cooperation research program, during which digital spatial data on shellfish production and relaying areas, regulated conditions on fishing activities, protected areas and restocking structures, administrative boundaries and sea bottom characteristics, were collated from digital repositories in various institutions and paper documents. A web-based geographical information system was developed to share data of the sea facing the Abruzzi region and to explore the spatial distribution of marine resources and maritime activities, thus focussing and facilitating fisheries management and providing a potential support to the regional planning of resource exploitation.

scholarly journals Effective Collaborative Mapping Based on Mobile Devices

2017 ◽  
Vol 65 (6) ◽  
pp. 2067-2072
Author(s):  
Ivo Pisařovic ◽  
David Procházka ◽  
Jaromír Landa ◽  
Jan Kolomazník ◽  
Karel Zídek ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Time Synchronization ◽  
Geographical Information ◽  
Time Data ◽  
Service Workers ◽  
Rescue Service ◽  
Share Data ◽  
Multiple Devices ◽  
Field Workers

There are numerous situations when it is utmost important to share efficiently some spatial data among a group of people. Floods can be taken as an obvious example. Many stakeholders including mayor or rescue service workers must have actual information about the conditions in the terrain. And most importantly, all of these can contribute to the information. Among these situations involving the crisis management, we dare to mention especially the inventory process. Traffic signs, road lanes, trees, lights and many other different object must be regularly maintained. Most of the organizations use some kind of geographical information system to keep the information about the maintained property. Our article is focused on development of mobile application that allows to acquire spatial data that are later used in these information systems. Thanks to real-time data synchronization between multiple devices, field workers can cooperate and share data immediately to an operating center or with the other workers. We describe the design of our mobile mapping application, comparison with other existing solutions and problems of real-time synchronization between different devices. Finally, we provide details about application usage in different municipalities.

Syntactical and Semantical Correctness of Pictorial Queries for GIS

2005 ◽  
pp. 671-676
Author(s):  
Fernando Ferri ◽  
Maurizio Rafanelli
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Query Languages ◽  
Geographical Information ◽  
Language Support ◽  
Visual Query ◽  
Physical Organization ◽  
Visual Query Languages ◽  
Definition Of ◽  
High Level

One of the main topics in geographical information systems (GIS) research concerns the definition of high level visual query languages (Chrisman, 2002; Laurini & Thompson, 1992). This arises from the need to provide the user with a visual interactive tool for data manipulation and retrieval that is independent of the data’s physical organization. The use of standard query languages for spatial data handling (Rigaux, Scholl, & Voisard, 2001; Shekhar et al. 1999) has been hindered by the lack of appropriate language support. In fact, in visual query languages for GIS, a query can lead to multiple interpretations (Favetta & Aufaure-Portier, 2000).

scholarly journals APLICACIÓN DE ÍNDICES DE FORMA EN LA DETERMINACIÓN DE POLÍGONOS SLIVERS DERIVADOS DE LAS DIMENSIONES LINEALES DE UNA FIGURA Y SU ÁREA

2017 ◽  
Author(s):  
Áurea Gallego Salguero ◽  
Miguel Sánchez Marco
Keyword(s):  
Spatial Analysis ◽  
Environmental Impact ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Work Design ◽  
Geographical Information ◽  
Government Agencies ◽  
Real Problem ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

Nowadays cartography is more and more required by users, companies and government agencies. A lot of tasks need digital, updated and quality cartography: Civil work design, planning, landscaping, environmental impact, conservation, etc. This need of cartography is mostly solved by spatial data infrastructures and map servers that make downloading and getting maps easy. Later, using Geographical Information Systems (GIS) it is quite easy to perform queries and geoprocessing operations in order to get valuable information which is difficult to get with other tools. However slivers polygons are a serious problem. They can alter the results in spatial analysis, queries and map portray. A map with sliver polygons is a map with false polygons and therefore with errors. We need to remove them. Removing sliver polygons is simple once they have been located. The real problem is to manage to locate them. Some sliver polygons are small, others are large but in both cases sliver polygons are difficult to locate and tell them apart from other polygons. Scientists have used formulas to calculate the shape of objects for many years. Today there are dozens of formulas available that could be used in the characterization and location of polygons slivers. In this article many of these shape formulas are analyzed and conclusions are drawn on whether they can be used in locating sliver polygons.http://dx.doi.org/10.4995/CIGeo2017.2017.6567

Sign in / Sign up

Export Citation Format

Share Document