Spatial synthesis is a process of combining multiple data sources to create a comprehensive and accurate representation of a geographic area or location. It involves merging data from various sources, such as satellite imagery, aerial photography, survey data, and other geographic data, to create a unified and complete map or image.

The process of spatial synthesis typically involves several steps, including data collection, data processing, data integration, and data visualization. The following are some of the key steps involved in spatial synthesis:

1. Data collection: The first step in spatial synthesis is to collect data from various sources, such as satellite imagery, aerial photographs, and survey data. The data collected must be accurate and reliable.

2. Data processing: The collected data is processed to remove any errors or inconsistencies. This involves cleaning, filtering, and transforming the data to ensure that it is in a usable format.

3. Data integration: The processed data is then integrated to create a unified dataset. This involves aligning the data to a common geographic reference system and combining the data into a single dataset.

4. Data visualization: The final step in spatial synthesis is to visualize the data in a format that is easy to understand. This involves creating maps, images, and other visualizations that show the spatial relationships between different data sets.

Spatial synthesis is widely used in many fields, including urban planning, environmental management, and natural resource management. It is also used in the development of geographic information systems (GIS) and other spatial analysis tools.

In summary, spatial synthesis is a process of combining multiple data sources to create a comprehensive and accurate representation of a geographic area or location. It involves several steps, including data collection, data processing, data integration, and data visualization. The process is widely used in many fields and is essential for creating accurate maps and other spatial analysis tools.

it is a technique applied to structure at the human scale , most notably in the analysis of geographic data