By working on Geographic Information Systems (GIS) applications and software, HDC seeks to secure the ingredients for enabling this knowledge in the scientific and administrative community, which aims to build spatial databases that would predict the problem before it occurs to find preventive rather than curative solutions.
1. Data collection: The procedure for collecting and measuring accurate data for research using approved standard techniques. In most cases, data collection is the primary and most crucial step for scientific research and decision-making processes.
2. Validation: This is a method for checking the accuracy and quality of data, typically performed before importing and processing. It can also be considered a form of data cleaning. Data validation ensures that data is complete (no blank or null values), unique (contains distinct values that are not duplicated), and that the range of values is consistent with what you expect.
3. Analysis: Data analysis is examining, purifying, transforming, and modeling data by applying a logical relationship according to a methodology that aims to exploit it to discover helpful information, give conclusions, and support decision-making.
4. Mapping: It is the process of producing maps that include information and the relationships between them to display them
4-1 Thematic maps: a map dedicated to one purpose and only one subject through which this topic is presented: A thematic map focuses on the spatial variability of a specific distribution or theme (such as population density or average annual income)
4-2 Reference maps: a map dedicated to several topics and can be used for different purposes at the same time