Objective. Students will select an appropriate projected coordinate reference system (CRS) for a given analytical task and reproject a dataset in QGIS without geometric distortion errors.
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A coordinate reference system (CRS) is a framework that ties every point in a spatial dataset to a real location on Earth. Without a CRS, a pair of numbers like (−87.63, 41.88) is meaningless — you cannot know whether it represents a street corner in Chicago or a point in the ocean. Every layer you load into QGIS carries a CRS, and that CRS must be understood before you measure, analyze, or publish anything.
There are two broad families of CRS that you will use constantly in GIS work.
A geographic coordinate system (GCS) locates points using angular measurements: latitude (degrees north or south of the equator) and longitude (degrees east or west of the prime meridian). The most widely used GCS is WGS 84, registered as EPSG:4326. GPS receivers output WGS 84 coordinates, and most web basemaps reference data to it.
Because a GCS treats Earth as an ellipsoid and measures angles rather than flat distances, it is unsuitable for calculations that require real-world linear units. If you try to measure the area of a park or the length of a road while your data sits in WGS 84, your software will produce results in square degrees — a unit that has no consistent meaning on the ground. This is one of the most common errors beginning analysts make.
A projected coordinate system (PCS) applies a mathematical transformation — a map projection — to convert the curved surface of the Earth onto a flat plane. The result is coordinates expressed in linear units such as meters or feet, which makes distance, area, and direction calculations straightforward.
Every projection distorts at least one of four spatial properties: area, shape (conformality), distance, and direction. No single projection preserves all four simultaneously. Choosing the right projection means deciding which property matters most for your task:
Two projected systems dominate US local and regional GIS work.
Universal Transverse Mercator (UTM) divides the world into 60 north–south zones, each 6° of longitude wide. The contiguous US spans roughly zones 10N through 19N. UTM uses meters and is well-suited for regional datasets that span hundreds of kilometers. For example, Chicago falls in UTM Zone 16N (EPSG:32616).
State Plane Coordinate System (SPCS) divides the US into over 100 zones designed to keep distortion very low within each state or region. Coordinates are in feet (US survey feet in most zones) or meters. State Plane is the standard for local government, surveying, and civil engineering work. Look up the correct EPSG code for your state's zone at epsg.io — for example, Illinois East is EPSG:26971 (NAD83).
QGIS can display layers with different CRSs together by reprojecting them on the fly — it converts coordinates temporarily for display without altering the stored data. This is helpful for a quick visual check, but it does not fix your data for analysis. When layers with mismatched CRSs are overlaid for measurement or geoprocessing, you must permanently reproject each layer to a common CRS using Vector → Data Management Tools → Reproject Layer (or the equivalent raster tool for raster data).
Always confirm the CRS of every layer before you begin analysis. In QGIS, right-click a layer, choose Properties, and open the Information or Source tab to read the assigned CRS. If a layer has no CRS assigned, QGIS may misplace it entirely — you must assign the correct CRS before reprojecting.
A reliable workflow for multi-layer projects:
1. Open each layer's properties and record its EPSG code.
2. Choose a target CRS appropriate for your analytical task and region (use epsg.io to confirm the code).
3. Reproject all layers to the target CRS and save the outputs as new files.
4. Load the reprojected layers and overlay them — features should align. A streets layer should follow the edges of parcels; coastlines should match census boundaries.
5. Document your chosen CRS and your rationale in your project notes.
GIS errors rarely create physical hazards, but they can cause serious analytical failures. Incorrect CRS selection has contributed to real-world errors in land management, utility siting, and emergency response routing. Treat CRS validation as a data quality checkpoint that must be completed before any output is shared or used for decisions. Never deliver a map or spatial dataset to a client or agency without verifying that all layers share a documented, appropriate CRS. Always keep original source files unchanged and save reprojected outputs as new files so the source data can be audited later.
Answer each question, then check it. Nothing is recorded; this is your own practice.
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