Appropriateness Of Different Spatial Data Models For Environmental Monitoring

Read Complete Research Material

Appropriateness of Different Spatial Data Models for Environmental Monitoring

Appropriateness of Different Spatial Data Models for Environmental Monitoring


Spatial models are the data management systems for the environmental monitoring data. Most of the industries are employing these models frequently because of its benefit to store all the relevant and significant data at one place. Moreover, the spatial methods provide the facilities of verification, compliance checking as well as validation of quality. The spatial models are necessary because they are tools of presentation and analysis for managing purpose of information (Heywood, 2011). It provides the basic components for capturing and analyzing data at level of department. The environment of infrastructure, hardware or software is also the functional level of the spatial models for environmental monitoring data (Craigmile, 2013).


There are three types of spatial data models commonly employed to store as well as present the data in the form of map. These three types of spatial models are basic in order to evolve the digital geographic data storing (Campbell, 1990). These models include image, raster and vector. The image model is mostly appropriated for the image sensed remotely like the digital orthophotos or the satellite imagery. It means the image model helps to represent the pictorial or the image data. In GIS system, the application of this model is to display the background data as well as to display like the graphic attribute (Goodchild, 1993). However, the data obtained through this system has to be converted into the other spatial models, raster or vector, to employ it with GIS analytically. Most of the GIS software systems interpret such models and help to show data.

The model of raster data storage involves the use of grid cell. This model divides the geographical area into columns and rows comprised of cells (Bates, 2000; Sawyer et al, ...