3.18 Data Conversion I: Spatial Resolution, Sampling, Aggregation and Resampling

Data conversion is critical in the process of data integration because data is normally collected with different methods, from different sources and stored in different formats which frequently render such data not compatible for use straightaway.

Co-registration is the first element for discussion in this learning path. It is where the analysis of multiple layers of geospatial data into a meaningful and coherent way to a common spatial grid or reference is being done.

Question

What are the some of the various processes to convert data to be compatible for use for the purpose of integrating data?

Path

1. Co-registration

The next item which needs an examination in this learning path is the term Data Integration as stressed earlier in learning path 3.15 --Introduction to Data Integration.

2. Data integration

In this learning path, we move on to the concept of Interpolation, which is used to create a GIS layer out of point observation on a continuous variable for various reasons such as: for visualization purposes, for making a proper reference with other data or for making a combination of different layers.

3. Interpolation

Finally in this learning path we will focus our attention on the level of spatial aggregation which is importantly considered in Various Earth science processes.