Vector data model in gis pdf notes

The nature of the vector data model vector data models are best suited to geographic entities that have discrete and sharp boundaries. In chapter 6 data characteristics and visualization, we discussed different ways to query, classify, and summarize information in attribute tables. Vector representation of data in the vector based model, geospatial data is represented in the form of coordinates. A physical entity is represented by a spatial object in a gis. Conclusion geographic information system is a computer system for capturing, storing, checking, and displaying data related to positions on earths surface. Then it organizes geometric objects and their spatial relationships into digital data files that the computer can access, interpret, and process. Each of these units is composed simply as a series of one or more coordinate points, for example, a line is a collection of related points, and a polygon is a collection of related lines. Geographic information system a computerbased system that stores geographically referenced data, links it with nongraphic attributes data in tables allowing for a wide range of information processing including manipulation, analysis and modeling. Gis uses two basic data models to represent spatial features. The cell size determines the resolution of the raster data model. In vector data, the basic units of spatial information are points, lines and polygons. Vector data is focused on modeling discrete features with precise shapes and boundaries. However no map projection data was saved to the pdf.

In early gis, vector files were simply lines and were having only. Worboys, 1997 other definitions of gis a container of maps in digital form. Vector data is comprised of lines or arcs, defined by beginning and end points, which meet at nodes. Vector data models use points and their associated x, y coordinate pairs to represent the vertices of spatial features, much as if they were being drawn on a map by hand aronoff 1989. Introduction to gis basics, data, analysis case studies. Taking the raster data model first, it represents space as a continuous field consisting of squares called pixels of a standard size, like the picture on. Imagery optical and radar topography geographical information systems gis a way to organize the imagery as. It is the intention to teach the principles of gis independent of any particular software system. They are the result of more than 20 years involvement in gis and spatial data handling. Lecture 2 introduction to gis based on lecture notes of.

One of the strengths of the vector data model is that it can be used to render geographic features with great precision. Because vector data have vertices and paths, this means that the graphical output is generally more aestheticallypleasing. Complex data structures means that phenomenonologically recognizable combination of several vector polygon maps through overlay creates difficulties simulation is difficult because each unit has a different topological form display and plotting can be expensive, particularly for. Data models are used to represent spatial features in a gis environment. The gis spatial data model university of washington. Data types the data model represents a set of guidelines to convert the real world called entity to the digitally and logically represented spatial objects consisting of the attributes and geometry. Divides space into discrete features, usually points, lines or polygons. Individual vector gis files point, line, polygon are in a typical gis software represented by layers, which are stacked.

The raster data model jackson school of geosciences. Vector model vector maps are point, segment, or polygon maps. These features are the basic features in a vectorbased gis, such as arcgis 9. Only in this way, the student can abstract from the peculiarities of a particular system and open hisher mind to. Each cell in a raster carries a value, which represents the characteristic of a spatial phenomenon at the location denoted by its row and column. Raster data is made up of pixels or cells, and each pixel has an associated value. An introduction to geographical information systems gis. A forest area stand is usually delineated and stored in a separate poly gis file, often called fri. Urban planning and social science laboratory spatial data models. For example, you can process data through a geoprocessing model to create a raster dataset that maps suitability for a specific activity. Data, created by dgmm, downloadable also from our im toolkit link provided below. An introduction to geographical information systems gis what is a geographical information system. Many common spatial data formats can also be opened by going to the browser pane, navigating to the file location, and clickingdragging the file into the general view or into the layers pane. Simplifying slightly, a digital photograph is an example of a.

This is data models for gis, chapter 4 from the book geographic information system basics. A data model in gis is a mathematical construct for representing geographic objects or surfaces as data. Polygons are used to represent areas such as the boundary of a city on a large scale map, lake, or forest. However, the distinction between vector and raster data types is not unique to gis. Import vector data to qgis from pdf and apply georeference. Advantages and disadvantages of raster and vector data models. Most of the maps are obtained by digitizing or by importing them. Vector data can be used for spatial analysis in a gis application, for example to find the nearest hospital to a school. Polygon features are two dimensional and therefore can be used to measure the area and perimeter of a geographic feature.

Secondly, it organises geometric objects and their spatial relationship in to digital data files that the computer can assess, interpret, and process. They are less suitable for a number of gis operations, especially those dealing with map overlaying. Most gis packages allow simultaneous display of raster and vector data. The vector data model uses points and their x, y coordinates to construct spatial features of points, lines, and areas. Ge111a remote sensing and gis lecture remote sensing many different geophysical data sets. A computerized tool for solving geographic problems. Furthermore, it gives higher geographic accuracy because data isnt dependent on grid size. Lecture 1 intro to gis and gis vector and raster data models. Gis and modeling overview the term modeling is used in several different contexts in the world of gis, so it would be wise to start with an effort to clarify its meaning, at least in the context of this book. Vector is a data structure, used to store spatial data. Gis data represents realworld objects such as roads, land use, elevation with digital data. We will examine two of the more common data structures here vector data model. Spatial data entered into a gis always fits into one of two main data structures, being either raster or vector data.

Giss have traditionally used either raster or vector for maps. The data model a logical data model is how data are organized for use by the gis. The basic spatial data model is known as arcnode topology. Vector representation vector representation of data in the vector based model figure 4, geospatial data is represented in the form of coordinates. I have a pdf created by mapinfo, it contains multiple layers of vector data that i can open as separate vector layers in qgis. Vector data models for gis vector model boundaries of spatial features our focus so far vector feature types. Vector maps require less disk storage space and are suitable for creating high quality outputs. When representing objects using the vector approach there are three possible representations. A geographical information system is a collection of spatially referenced data i. Lakes would typically be stored in a polygon poly vector gis file, called, e. Two data models commonly used to represent spatial data in gis are the raster and vector data models within the vector data model, a representation of the world is created using lines, points, and polygons.

Integration of raster and vector data can take place in data display, data processing, data conversion, or data analysis. A representation of the world using vertices or points, connected vertices or lines, and closed connected vertices or polygons. In this model, space is not quantized into discrete grid cells like the raster model. The objective of this section is to understand how vector data models are implemented in gis applications. However, they dont take particular advantage of the greatest. What is the difference between vector and raster data. The first disadvantage is that raster files are typically very large. The remote sensing and gis pdf notes rs and gis pdf notes.

Additionally, vector data is free to define geographic entity at any spacing in a nonuniform manner. Not only that, network analysis and proximity operations use. Introdution a geographic information system gis is a system designed to capture, store, manipulate, analyze, manage, and present all types of. Spatial analysis ii raster models 26 october 2005 joseph ferreira raster vs. Vector data provide a way to represent real world features within the gis environment. Handbook on geographic information systems and digital. Each one of these things would be a feature when we represent them. There are two major types of geometric data model a.

A digital map is generally of much greater value than the same map printed on a paper as the. Vector data models structures vector data models can be structured many different ways. This diagram shows how gis applications deal with vector data. Thematic maps can also result from geoprocessing operations that combine data from various sources, such as vector, raster, and terrain data. Discuss components of spatial data centers for disease. Spatial analysis vector models october, 2010 joseph ferreira, jr. Can overlay displays easily can easily manipulate data table can have many variables linked to one geographic file better suited for map output a simple data structure. In contrast to the raster data model is the vector data. Below is an example of a classified raster dataset showing land use. A gis also provides for map display and production. A feature is anything you can see on the landscape. Geographical information systems gis introduction geographical information system gis is a technology that provides the means to collect and use geographic data to assist in the development of agriculture. Vector model vector model uses discrete points, lines andor areas corresponding to. Raster model vector model points, lines, polygons features and maps a gis map is a scaleddown digital representation of point, line, area, and volume.

These methods are indispensable for understanding the basic quantitative and qualitative trends of a dataset. A small pond might be stored as part of a wetlands gis file. Introduction to gis workbook university of maryland. In gis, vector and raster are two different ways of representing spatial data. Vector data model to prepare spatial data for computer processing, the vector data model first uses points and their x, ycoordinates to represent spatial features as points, lines, and areas.

Includes province names, related pcodes and population of syrian individuals. The data model determines how the data are structured, stored, processed, and analyzed in a gis. Lecture 1 introduction to gis section i gis versus. Topology rules can help data integrity with vector data models. Raster data models 9182018 geo327g386g, ut austin 3 geo327g386g. The two basic data models of gis are raster and vector. In vector data, the basic units of spatial information are points, lines arcs and polygons. A data base consists of data in many files, in order to be able to access. Dem are input data to extract topographic features such as contour, drainage network, watersheds, etc. Vector data model represents phenomena in terms of the spatial primitives, or. In contrast to the raster data model is the vector data model. Raster and vector data model in gis there are two essential methods used to store information in a geographic information system gis for both reflections.

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