Create new Gis data map using Spatial Join features within boundaries

Explore Tool - mapanalysis.mapog.com/
In this tutorial, we'll walk you through a powerful GIS operation: the Spatial Join with the 'within' clause. This feature allows you to combine data from different layers based on their spatial relationships. We'll demonstrate this using the example of detecting green spaces within urban environments using MAPOG, a robust GIS tool.
1. Opening the MAPOG Interface - How to navigate the MAPOG map analysis interface.
2. Adding Data Layers - Steps to add administrative boundaries and green spaces layers.
3. Saving Your Map - Naming and saving your project.
4. Viewing Data Tables - Checking your data before performing the join.
5. Performing the Spatial Join - Selecting target features and configuring the 'within' clause.
6. Reviewing the Joined Data - Analyzing the new combined dataset.
Applications:
Urban Planning: Identify areas needing more green spaces.
Resource Allocation: Make data-driven decisions for green space maintenance.
Environmental Analysis: Understand the distribution of green spaces in urban areas.
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#GIS #SpatialJoin #MAPOG #UrbanPlanning #GreenSpaces #GeographicAnalysis #GISData #SpatialAnalysis