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Lu2020

: In your GIS software, create a new shapefile or geodatabase feature class (e.g., Polygon) that matches the coordinate system of your LU2020 layer.

If you are performing "feature extraction" for a machine learning model (e.g., for LULC change detection ):

: Open the "Create Features" pane. Select your new layer and choose a construction tool (like the Polygon or Freehand tool). LU2020

Depending on your goal—whether you are creating a new spatial feature (like a polygon) or a data attribute (feature engineering)—here are the steps to proceed: 1. Create a New Spatial Feature (Vector Data)

Adding it to the MemoryStore or your data provider to render it on the map. : In your GIS software, create a new

: You can also "make" a feature by joining your LU2020 data with other layers (like elevation or population density) to create a multi-dimensional feature vector for supervised classification . 3. Using LuciadRIA (Developer Focus)

Assigning (key-value pairs for land use type, area, etc.). Depending on your goal—whether you are creating a

: Ensure you save your edits to commit the new feature to the dataset. 2. Feature Engineering for Analysis

: In your GIS software, create a new shapefile or geodatabase feature class (e.g., Polygon) that matches the coordinate system of your LU2020 layer.

If you are performing "feature extraction" for a machine learning model (e.g., for LULC change detection ):

: Open the "Create Features" pane. Select your new layer and choose a construction tool (like the Polygon or Freehand tool).

Depending on your goal—whether you are creating a new spatial feature (like a polygon) or a data attribute (feature engineering)—here are the steps to proceed: 1. Create a New Spatial Feature (Vector Data)

Adding it to the MemoryStore or your data provider to render it on the map.

: You can also "make" a feature by joining your LU2020 data with other layers (like elevation or population density) to create a multi-dimensional feature vector for supervised classification . 3. Using LuciadRIA (Developer Focus)

Assigning (key-value pairs for land use type, area, etc.).

: Ensure you save your edits to commit the new feature to the dataset. 2. Feature Engineering for Analysis