The document defines geospatial data as information related to geographic features and their relationships, typically stored with coordinates and topology. It categorizes geospatial data into vector and raster types, with examples including census data, satellite imagery, and social media data. The document emphasizes various applications and examples of geospatial data, showcasing its relevance in analyzing geographic trends.

1. By:
Loveza Lodhi
Munezah malik

2. Contents
• What is geospatial data
• Types
• Examples

3. What is geospatial data?
● Information about the location and shapes of geographic
features and the relationship between them, usually
stored as coordinates and topology

4. Types of Geospatial data
● Vector data
● Raster data

5. Vector data

6. Vector data

7. Vector data

8. Raster data
Raster data is pixel-based or gridded cells that are
identified according to row and column

9. Attribute data
Examples of geospatial data:
1. Vector and attributes
Descriptive information about a location
such as points, lines, and polygons
Vector data

10. Examples of geospatial data:
2. Point clouds
A collection of co-located charted points that
can be recon textured as 3D models.

11. Examples of geospatial data:
3. Raster and satellite imagery
High-resolution images of our world, taken
from above

12. Examples of geospatial data:
4. Census data
Released census data tied to specific
geographic areas, for the study of
community trends

13. Examples of geospatial data:
5. Cell phone data
Calls routed by satellite, based on GPS
location coordinates

14. Examples of geospatial data:
6. Drawn images
CAD images of buildings or other structures,
delivering geographic information as well as
architectural data.

15. Examples of geospatial data:
7. Social media data
Social media posts that data scientists
can study to identify emerging trends