Principles of logic and the use of digital geographic information systems

Robinove, Charles J.

doi:10.3133/cir977

Cited by 33 publications

(20 citation statements)

References 4 publications

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“…A GIS typically links different data sets and allows many different types of data to be spatially and statistically analyzed (Robinove, 1986). Figure 1 shows the linking of a number of related data layers that can be extracted from various surface and subsurface geographic and geologic data bases.…”

Section: Geographic Information Systemsmentioning

confidence: 99%

Guide to the development and application of geographic information systems for sedimentary basin analysis; case study for the San Juan Basin, New Mexico and Colorado

Miller¹

1992

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Section: Geographic Information Systemsmentioning

confidence: 99%

Guide to the development and application of geographic information systems for sedimentary basin analysis; case study for the San Juan Basin, New Mexico and Colorado

Miller¹

1992

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“…G I s has been criticized for its reductionism because it artificially divides the world into parts (Robinove 1986). T h e m a p overlay concept in G I s decomposes real world entities into a series of overlays o n the basis of rigid boundaries.…”

Section: Introductionmentioning

confidence: 99%

“…Holism, contrary to reductionism, conceptualizes the world as a whole rather than the sum of its parts. Through the holistic approach, relations between a site and the surrounding area are considered (Robinove 1986). Since the world is perceived as a set of material entities possessing highly correlated structures (Rosch 1978), a comprehensive model is needed to embody all types of spatial objects and the relations among them.…”

Section: Introductionmentioning

confidence: 99%

A spatial data model design for feature-based geographical information systems

Tang

Adams

Usery

1996

International journal of geographical information systems

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In state-of-the-art GIS, geographical features are represented as geometric objects with associated topological relations and classification attributes. Semantic relations and intrinsic interrelations of the features themselves are generally neglected. In this paper, a feature-based model that enhances the representation of geographical features is described. Features, as the fundamental depiction of geographical phenomena, encompass both real world entities and digital representation. A feature-based object incorporates both topological relations among geometric elements and non-topological (semantic) relations among features. The development of an object-oriented prototype feature-based G I s that supports relations between feature attributes and feature classes is described. Object-oriented concepts such as class inheritance and polymorphism facilitate the development of feature-based GIS.

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“…On the other hand, depending on the application and the level of complexity of the observed scene, the different objects are better identified if high spectral resolution image is used. Hence, there is a desire to combine the high spatial and the high spectral resolutions with the aim of obtaining the most complete and accurate description of the observed scene [8] .…”

Section: Digital Image Processing: Data Fusionmentioning

confidence: 99%

“…3). Many works have recognized the benefit of merging multi-sensor and multi-resolution satellite data and numerous merging approaches, such as the IHS transform [4] , PCA analysis [2] and HPF method [7,8] . On the other hand, depending on the application and the level of complexity of the observed scene, the different objects are better identified if high spectral resolution image is used.…”

Section: Digital Image Processing: Data Fusionmentioning

confidence: 99%

Relational GIS and Remote Sensing Database System for Al-Salt Area, Jordan

Fadda¹,

Kakish²,

Akawwi³

2008

American J. of Engineering and Applied Sciences

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Due to the importance of database systems, integration between two Geomatics sciences, GIS and Remote Sensing has been made in order to support and serve various sectors in Jordan. GIS has been used to create layers that can show decision makers in a simple, easy and flexible manner. Remote Sensing will be used in creating images of how Jordan is seen from space, which will give the users more information and an overview about the study area. Satellite images could be converted into digital image maps, using digitizing procedures. The features viewed in the original scene could be studied by using different remotely sensed techniques. Landsat-7 (ETM+) and SPOT images were implemented, in order to extract the information needed for the topography of the region, land cover areas, boundaries, drainage patterns, road networks, man-used areas, vegetated areas and many other features in Al-Salt areas. The validity and the appropriateness of GIS and Remote Sensing techniques, particularly data fusion of images were evaluated in relation to visualization.

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Principles of logic and the use of digital geographic information systems

Cited by 33 publications

References 4 publications

Guide to the development and application of geographic information systems for sedimentary basin analysis; case study for the San Juan Basin, New Mexico and Colorado

Guide to the development and application of geographic information systems for sedimentary basin analysis; case study for the San Juan Basin, New Mexico and Colorado

A spatial data model design for feature-based geographical information systems

Relational GIS and Remote Sensing Database System for Al-Salt Area, Jordan

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