Data creation workflow

Available with the ArcGIS Indoors Pro or ArcGIS Indoors Maps extension.

Data creation involves the following high-level process that can be mostly automated using geoprocessing tools available with ArcGIS Indoors:

1. Create the Indoors geodatabase or indoor dataset.
2. Georeference source data.
3. Import or digitize floor plan features.
4. Review data quality.

Each step is described below.

Create the Indoors geodatabase or indoor dataset

There are two ways to create the Indoors model elements:

• Use the Create Indoors Database tool to create an Indoors geodatabase. The Indoors geodatabase created by this tool contains the fields and tables required for floor plan mapping, routing, space planning, and workspace reservations.
• Use the Create Indoor Dataset tool to create an indoor dataset inside an existing file or enterprise geodatabase for basic floor plan mapping. The indoor dataset includes a streamlined schema that conforms to the ArcGIS Indoors Information Model and does not include some of the fields and tables required by Space Planner, Indoor Viewer, and the Indoors mobile apps by default.

Georeference source data

Floor plan data needs to be georeferenced before it is loaded into your Indoors workspace. You can georeference CAD drawings and Revit models in ArcGIS Pro.

Import floor plan features

You can load floor plans from CAD drawings or Revit files. Importing floor plans from CAD drawings—for example, .dwg files from AutoCAD or .dgn files from MicroStation—requires a Microsoft Excel configuration spreadsheet to facilitate mapping source CAD layer names to their output GIS layers and attributes. You can import floor plans from Revit .rvt files directly into an indoor dataset using the Import BIM To Indoor Dataset tool.

Note:

If you don't have .dwg, .dgn, or .rvt files, you can georeference floor plan images and digitize the floor plan manually.

Review data quality

Once you have loaded floor plans to the Indoors workspace, you can perform data quality review to ensure that data was imported correctly, conforms to the Indoors model, and meets your organizational needs. Indoors provides a collection of validation attribute rules to check your data for common and critical errors. You can add new rules or modify these rules based on your needs.