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Introduction to GIS: Geospatial Data

Introduction to GIS:  Geospatial Data
This badge is awarded to learners who have demonstrated the ability to work with geospatial data, find reliable geospatial data and use Esri software to collect, edit, and share data in various formats for a variety of applications.

Issued on 11 Dec 2025 by

Seneca Polytechnic

Seneca Polytechnic

#ArcGIS #DigitalMapping #FieldData

Issuer

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Seneca Polytechnic

info@senecapolytechnic.ca

Seneca Polytechnic is a multiple-campus public college located in the Greater Toronto Area of Ontario, Canada. It offers full-time and part-time programs at the baccalaureate, diploma, certificate and graduate levels.

Criteria

The recipient of this micro-credential has demonstrated the ability to:

  • Select the appropriate data type for data collection or creation.
  • Identify the non-spatial information that is needed for a specific application.
  • Document data using established standards.
  • Evaluate data sources and select suitable data for a specific application.
  • Use GIS software and related technologies, e.g., ArcGIS web and mobile apps, (can we put some examples in here?) to perform data collection and creation.
  • Perform basic analysis of spatial data using GIS software, including assessing positional accuracy of collected data.
  • Apply map design principles to interactive web maps, including colour, contrast, symbology and labelling.
  • Apply filters and simple scripts to modify the appearance of data in an interactive map.
  • Document and report on all stages of the data collection/creation and analysis process

By providing:

A final assignment in which students will:

  • Use a template in ArcGIS Online to create a feature layer for data collection and customize attributes and symbology. Create and configure a map that includes the feature layer and can be used offline in ArcGIS Field Maps to collect data. Add appropriate metadata to all items.
  • Collect sample data, including positional accuracy information for each sample.
  • Add the sample data to a map along with reference data from an authoritative open data source. Create buffers around collected point data to illustrate positional accuracy.
  • Present the results in a story map that describes the data collection process and includes maps and charts to show the positional accuracies and a preliminary analysis of the data.

And by reflecting on the entire process by:

Completing a reflective essay with prompting options from the instructor.

Alignments

Essential Employability Skills

http://www.tcu.gov.on.ca/pepg/audiences/colleges/progstan/essential.html

Mandated by the Government of Ontario. All graduates with the following Ontario College credentials, Ontario College Certificate, Ontario College Diploma and Ontario College Advanced Diploma, must be able to reliably demonstrate the Essential Employability Skills required in each of the following six categories: Communication, Numeracy, Critical thinking & problem solving, Information management, Interpersonal and Personal.