How do I upload and view data?

What data can I upload?

Many common GIS data types in use by ESRI, QGIS, Manifold GIS, Minesite, Vulcan, Leapfrog and MapInfo will be available for viewing in Deep AR.

1) Prepare the data

It helps to have simple, uncomplicated attribute / column names on your data.  For example, 'cu_ppm' is an easy way to name an attribute of your data containing copper values in parts per million.
Represent attributes numerically (123,  789,  15000, etc.).  Currenlty Deep AR can not display by text attribute (eg. 'granite'); we assign numeric codes to lithologies for stylizing within the app.
Data such as drill holes that contain 'from - to' attribute information must be converted to a singluar 'elevation' value.  Many desktop GIS software can perform this conversion for you, trigonometry may altervatively be helpful, ort, to facilitate this conversion we have provided our users with this spreadsheet tool.2) Export the dataExport point data as CSV or GeoJSON.  Point data often represents (like drill holes, or soil samples), with columns representing latitude ( 'Y' ),  longitude ( 'X' ), and elevation ( 'Z' ).  
Export line (polyline) and shape (polygon) data as GeoJSON

3) Import the data  (Web Browser)

  • Navigate your web browser to Deep AR
  • Sign in
  • Navigate to your Dashboard
  • Select an existing Project, or create a new one
  • Click on the Upload button
  • Select your dataset
  • Enter in the appropriate information
  • Select the appropriate column names for X (longitude), Y (latitude), and Z (elevation, if present)
  • Select the appropraite dataset projection (EPSG:4326 or EPSG:3857)

3) Import the data  (App)

  • Open the Deep AR App
  • Sign in (if not already)
  • Click on the 'Projects' drawer item located at the bottom of the app
  • Click on 'Manage'
  • Select an existing Project, or create a new one
  • Click on the Upload button
  • Select your dataset
  • Enter in the appropriate information
  • Select the appropriate column names for X (longitude), Y (latitude), and Z (elevation, if present)
  • Select the appropraite dataset projection (EPSG:4326 or EPSG:3857)

4) View the data​

  • Open the Deep AR App
  • ​Sign in (if not already)
  • Click on the 'Projects' drawer item located at the bottom of the app
  • Expand the Project containing the dataset you wish to view
  • Turn 'on' the dataset5) Stylize the dataEnsure the dataset of interest is turned 'on'
  • Click on the 'Styles' drawer item located at the bottom of the app
  • Scroll to the attribute you wish to style
  • Click on the attribute- the data is now styled from low-high,  cold-hot colors respectively.

Important notes:

1) Datasets for import must be in either EPSG:3857 (world mercator) or EPSG:4326 (decimal latitude/longitude) projection.
2) Elevation values / column is not necessary for viewing within the app.  Data not having 3D coordinates (elevation) will be projected- or 'draped'- onto an elevation surface.
 

When I stylize the data, what do the colors mean?

When you style your data by selecting the 'styles' button located at the bottom of the app, Deep AR then:
  • evaluates the total spread of the numeric data in the dataset,
  • builds a spectrum of colors (blue, green, yellow, orange, red), then
  • assigns the range of low to high values with cold to hot colors, respectively, and
  • colorizes the data in your viewer.

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