Raster based data models in software

In contrast to the raster data model is the vector data model. Discrete rasters have distinct themes or categories. To apply the model the tin based digital elevation model was converted into raster coverages at 25, 50 and 100 m resolutions using the arcinfo gis software. A classification of software components commonly used in geographic.

Raster data models consist of 2 categories discrete and continuous. Pdf the raster data model is a widely used method of storing geographic data. For example, one grid cell represents a land cover class or a soil type. Data analysis such as extracting slope and aspect from digital elevation models occurs with raster datasets. The spatial resolution of a raster dataset represents a measure of the accuracy or detail of the displayed information.

Gridcell systems are very compatible with rasterbased output devices, e. The spaghetti vector model leads to inefficient data storage and is not. Mrr is a completely new raster data format that reimagines how raster data is stored and what data can be stored as a raster. As well, a typical gis process involves moving backandforth between the two models. In this model, space is not quantized into discrete grid cells like the raster model. Raster based spatial models regard space as a tessellation of cells, each of which. Os software, network software data vector data, raster data, image data, attribute. In general, the vector data model is used to represent the former and the raster data model to represent the latter. The raster data model is a widely used method of storing geographic data. Vectorbased stackunit maps depict the vertical succession of geologic units to a specified depth here.

Raster models are useful for storing data that varies continuously. 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. What is the difference between vector and raster data models. Spectral data presents aerial or satellite imagery which is then often used to derive vegetation geologic information by classifying the spectral signatures of each type of feature. Important to setuptest class software and video conference tools on your. However, the lines od separation are sometimes crossed. The model most commonly takes the form of a gridlike structure that holds values at regularly spaced intervals over the. A simple rasterbased model for flood inundation simulation.

It unifies the storage of multiple raster data types, including satellite imagery, gridded data e. What is the difference between vector and raster data. The raster data model is widely used by nongis technologies such as digital cameraspictures and lcd monitors. Raster datasets are intrinsic to most spatial analysis.

Objectbased models decompose an information space into objects or. The objective of this section is to understand how raster data models are implemented. Lecture 1 intro to gis and gis vector and raster data models. This process provided a reasonable representation of the floodplain and did not result in either pits in the dem or holes in levee structures for the 25 m dem. Spatial hydrology modeling such as extracting watersheds and flow lines also uses a rasterbased system. For example, elevation surfaces, temperature and lead contamination. Raster data are derived from a gridbased system of contiguous cells containing specific attribute information. Raster models are useful for storing data that varies continuously, as in an aerial photograph, a satellite image, a surface of chemical concentrations, or an elevation surface.