Vector Basic

Vector Basic AIKP provides functionality to publish and visualise shapefile and GeoJSON vector data in webUI.

Features

  • Input shapefiles (.shp) or GeoJSON format

  • Preserve geometry and attribute information

  • Support for all common shapefile geometry types (Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon)

  • Customizable output file naming

  • Integration with OCLI’s COS storage system

Prerequisite

  • rsync to your OCLI home folder input data (shapefile or geojson vector data)

CLI workflow

Create a project (if required)

create -n project_name -a

Create Task.

task create -t ocli.aikp.vector_basic -n task_name --activate

Set input vector file

task set file_path=/path/to/my/shapefile.shp

Optional: Output of this command is tabular view of data parameters (attribute table)

 task template inspect

Optional: Select the column that will be used for grouping, default is “index” (every record will be colored separately)

task set group_by_column=<column name>

Optional: Configure the colormap. Default `”terrain_r”. If user input is invalid, a list of valid options will be printed to screen. The list of available colormaps can be found here https://matplotlib.org/stable/gallery/color/colormap_reference.html

task set colormap=<colormap name>

Optional: Configure alpha/transparency channel, with 0 completely transparent and 1 not-transparent. The default is 0.5.

task set alpha=<float[0, 1]>

task make recipe

ai makegeojson

ai upload

ai publish post

Implementation Details

The module reads shapefiles using GeoPandas and converts them to GeoJSON format. Each feature in the shapefile is saved as a separate GeoJSON file, maintaining its properties and geometry. The module supports all common shapefile geometry types and handles attributes from the shapefile.

Dependencies

  • GeoPandas

  • Shapely

  • OCLI core libraries