Introduction
The Global Positioning System (GPS) is a satellite-based navigation system that provides
location and time information to users anywhere on Earth. GPS plays a crucial role in
Geographical Information Systems (GIS) by providing accurate geospatial data that can be
integrated, analyzed, and visualized within GIS platforms.
The Global Positioning System (GPS) and Geographical Information System (GIS) work
together to collect, process, analyze, and visualize geographic and spatial data. The
integration of GPS in GIS allows for real-time data collection, accurate mapping, and
location-based analysis. Here's a step-by-step explanation of how GPS works within a GIS
framework:
1. Basic GPS System Overview
The GPS is a satellite-based navigation system consisting of three main components:
Space Segment: This includes a constellation of around 24 satellites orbiting the
Earth that continuously transmit signals containing their location and the time the
signal was sent.
Control Segment: Ground stations monitor and control the satellites, ensuring they
are functioning properly and adjusting their orbits when needed.
User Segment: GPS receivers on the ground, on vehicles, or in handheld devices
receive signals from the satellites and calculate their position based on the time it
takes for the signals to reach them.
GPS works by using triangulation, where at least three satellites (ideally more for better
accuracy) transmit their position and time information to the receiver. By measuring the time
it takes for these signals to reach the GPS receiver, the system can determine the user’s
position in terms of latitude, longitude, and altitude.
2. GPS Data Collection for GIS
In a GIS context, GPS is used for collecting geographic data points with high precision.
Here’s how this typically works:
a. Field Data Collection:
Surveying: A field operator or surveyor uses a GPS receiver to collect spatial data in
the field, such as the exact coordinates of a tree, building, road, or boundary. The GPS
receiver outputs the position as a set of coordinates (latitude, longitude) and often
elevation (altitude).
Real-Time Data: In some GIS applications, real-time data is collected as the user or
vehicle moves. For instance, vehicles with GPS devices can continuously report their
position to a GIS server, enabling live tracking.
b. Georeferencing:
Georeferencing is the process of associating data (such as a photo or scanned map)
with real-world coordinates. GPS can be used to capture the coordinates of specific
features on a map, ensuring that the data is properly aligned in the GIS.
3. GPS and GIS Integration: Step-by-Step Process
After GPS data is collected in the field, it needs to be integrated into GIS software for
analysis, mapping, and visualization. Here’s how GPS data works within the GIS workflow:
a. Data Capture & Transmission
GPS devices record coordinates and store them in a specific format (e.g., NMEA,
CSV, GPX, or directly as shapefiles or geodatabases).
The recorded data can be uploaded to a GIS system manually or automatically (using
wireless communication) through devices such as mobile phones, GPS-enabled
tablets, or laptops.
b. Data Import into GIS
The GPS data is imported into GIS software, which can process different file formats
such as CSV, KML, GPX, or direct import from GPS hardware using specialized GIS
software.
For example, a GIS shapefile (a common GIS data format) might contain GPS
coordinates of all collected survey points (like building locations, utility poles, or
landmarks).
c. Mapping & Visualization
The imported GPS coordinates are plotted onto digital maps within GIS software,
creating visual representations of spatial features (e.g., roads, boundaries, facilities).
GIS software allows users to overlay these GPS-based data points onto satellite
imagery, digital maps, or terrain models.
d. Attribute Data Linkage
GPS coordinates collected in the field are often linked with attribute data. For
example, a GPS point marking the location of a tree might be associated with
information about the species, health, or size of the tree.
This attribute data is stored in a database, allowing users to query and analyze spatial
data based on its attributes.
e. Data Analysis
Once the GPS data is integrated into GIS, the data can be analyzed in various ways:
o Buffer Analysis: Create zones around specific GPS points (e.g., areas within
100 meters of a water well).
o Proximity Analysis: Calculate distances between GPS points or analyze
proximity to other features (e.g., how far a building is from a road).
o Overlay Analysis: Combine GPS data with other data layers (such as soil
types, land use, etc.) to perform spatial analysis.
4. GPS-Driven Real-Time GIS Applications
Tracking and Navigation: GPS enables real-time location tracking, which can be
integrated into GIS systems for applications like fleet management, tracking delivery
vehicles, or monitoring wildlife movements.
o Example: A GIS system can show the real-time locations of emergency
vehicles as they respond to incidents, helping to optimize response time and
route planning.
Field Mapping and Updates: In field-based work (e.g., environmental monitoring,
forestry, or agriculture), GPS can continuously update GIS systems with fresh data,
enabling dynamic decision-making.
o Example: An environmentalist may use GPS to map endangered species
sightings, which are automatically updated in GIS to show where these
sightings occur and identify trends.
5. Accuracy of GPS Data in GIS
The accuracy of GPS data is critical for GIS applications. GPS accuracy depends on several
factors:
Satellite Geometry: The relative positions of the satellites affect the accuracy of the
GPS data. When satellites are widely spaced in the sky, the position calculation is
more accurate.
Signal Interference: Obstacles like buildings, trees, and mountains can block or
reflect GPS signals, reducing accuracy, especially in urban canyons or dense forests.
Differential GPS (DGPS): This is a technique used to improve GPS accuracy. It uses
a network of fixed ground-based reference stations to broadcast correction signals,
which can reduce GPS error to within a few centimeters in some cases.
In standard commercial GPS receivers, typical accuracy is between 3 to 10 meters. High-
precision GPS units, such as those used for surveying, can achieve centimeter-level accuracy.
Role of GPS in GIS
1. Location Data Collection:
o GPS is widely used for collecting accurate geographic coordinates (latitude,
longitude, and elevation) in the field. This data can be directly integrated into a
GIS for mapping and analysis.
o GIS professionals and field surveyors use GPS devices to collect data points,
such as the locations of roads, buildings, natural features, or other physical
infrastructure.
2. Mapping and Visualization:
o GPS helps in creating maps and visualizations within GIS software by
providing real-time positional data. For example, mapping a route, tracking
the movement of an object, or marking specific locations on a map.
o This is especially valuable in applications like urban planning, disaster
management, environmental monitoring, and transportation logistics.
3. Real-Time Tracking:
o In real-time GIS applications, GPS can be used to track moving objects or
assets, such as vehicles, ships, or wildlife. This data can be continuously
updated in the GIS, enabling dynamic analysis and decision-making.
o For example, delivery companies use GPS to track fleet locations in real-time,
integrating this with GIS to optimize routing.
4. Accuracy and Precision:
o GPS data provides high levels of accuracy, often within a few meters in
standard consumer devices. More precise GPS systems, such as differential
GPS (DGPS), can achieve accuracies down to centimeters, which is
particularly useful in surveying and cartography.
o This high precision allows GIS professionals to perform detailed spatial
analyses, including creating accurate digital maps, land-use planning, and
infrastructure development.
5. Georeferencing:
o GPS allows for the georeferencing of maps, images, and other spatial data. For
example, satellite imagery or aerial photographs can be aligned with actual
ground coordinates using GPS data to ensure that the spatial data is properly
located in the real world.
6. Field Data Integration:
o Field data collection via GPS allows GIS professionals to capture and
integrate attribute data (such as species, land type, or population density)
alongside the geographic coordinates of various points, creating
comprehensive datasets for analysis.
Applications of GPS in GIS
Environmental Monitoring: GPS is used to track the location of environmental
features, such as wetlands, forests, or water bodies, and to monitor changes over time
in GIS.
Agriculture: Farmers use GPS for precision agriculture, mapping fields, tracking
crop conditions, and applying fertilizers or pesticides accurately, all of which can be
managed through GIS.
Disaster Management: In emergency response, GPS is used to quickly locate and
map areas of impact, such as wildfire fronts, flood zones, or earthquake damage,
providing vital data for disaster relief efforts.
Transportation and Navigation: GPS is essential for transportation systems,
including vehicle navigation, route optimization, and managing traffic systems. These
systems often use GIS to analyze and visualize traffic patterns, accidents, or road
conditions.
Integration of GPS Data into GIS
Data Import: GPS data can be imported into GIS software in different formats (e.g.,
shapefiles, GeoJSON, CSV with coordinates).
Spatial Analysis: Once GPS data is in the GIS environment, spatial analysis tools can
be applied to analyze relationships between different geographic features, such as
distance calculations, buffer zones, or area measurements.
Visualization: GIS can visualize GPS data through interactive maps, 3D
visualizations, and heatmaps, offering users a clear representation of the spatial
relationships between features.
Conclusion
GPS is an essential tool in GIS, providing accurate, real-time location data that is critical for
mapping, analyzing, and visualizing geographic information. It allows GIS professionals to
collect field data, track movements, and make data-driven decisions in various industries,
from urban planning to disaster management and environmental conservation. By combining
GPS data with GIS analysis tools, users can gain deeper insights into spatial patterns, trends,
and relationships.