Plotly for GIS: Build Interactive Geospatial Visualizations
- Anvita Shrivastava
- 3 hours ago
- 4 min read
The use of geospatial data is becoming the backbone of contemporary analytics as businesses and organizations are using it in several ways, including tracking delivery fleets, analyzing customer demographics, monitoring environmental changes, etc. The problem is that static maps do not convey some complex spatial patterns effectively.
This is the reason why Plotly for GIS is very useful because it enables users to create interactive geospatial visualizations with great flexibility. It allows developers, data scientists, and GIS experts to create great geospatial visualizations on a web interface.
What is Plotly?
Plotly is an open-source library for visualization of data that allows users to create interactive charts and dashboards, as well as work with geospatial visualizations. The library is available for Python, R, JavaScript, and Julia and helps attractively visualize any raw dataset.
Instead of producing static images, Plotly gives you the ability to create maps and perform the following tasks within your browser:
Seamless zooming and panning
Hovering over the map
Dynamic filtering of the data
Showing rich tooltips
Making it possible to include the maps on dashboards
Why Use Plotly for GIS?
Interactive maps provide significantly more value than static visualizations. Plotly combines GIS functionality with modern web-based interactivity.
Benefits of Plotly
Interactive Mapping
Interactive mapping allows users to analyze data on specific locations, hover over particular markers, and perform other activities without disrupting the experience of data visualization.
Different Types of Maps
Plotly offers different types of maps, including:
Scatter maps
Choropleth maps
Heatmaps
Bubble maps
Line maps
Polygon maps
Easy-to-Use API
For those using Pandas, NumPy, or GeoPandas, Plotly is compatible and can easily be integrated into an already existing workflow.
Dash Integration
Plotly maps can be used along with Dash to create whole GIS dashboards.
Publication-Ready Maps
Maps created using Plotly can be used for business reports, web applications, data science portfolios, executive dashboards, and research publications.
Plotly GIS Map Types
Scatter Maps
Scatter maps display individual geographic points using latitude and longitude.
Common use cases include:
Retail store locations
Customer addresses
Earthquake events
Delivery tracking
IoT device monitoring
Example:
import plotly.express as px
fig = px.scatter_map(
df,
lat="latitude",
lon="longitude",
hover_name="city",
color="sales",
zoom=4
)
fig.show()Choropleth Maps
Choropleth maps color geographic regions based on data values.
Ideal for visualizing:
Population density
Election results
Sales by state
Disease spread
Economic indicators
Example:
fig = px.choropleth(
df,
locations="state_code",
locationmode="USA-states",
color="revenue",
scope="usa"
)
fig.show()Density Heatmaps
Heatmaps visualize areas with high concentrations of geographic events.
Popular applications include:
Crime analysis
Traffic congestion
Tourism hotspots
Ride-sharing demand
Disease outbreaks
Example:
fig = px.density_map(
df,
lat="lat",
lon="lon",
z="visits",
radius=20
)
fig.show()Bubble Maps
Bubble maps represent values through marker size.
Common business applications include:
Revenue by city
Population comparison
Store performance
Warehouse capacity
Example:
fig = px.scatter_map(
df,
lat="lat",
lon="lon",
size="sales",
color="region"
)Working with GeoJSON Files
GeoJSON is one of the most widely used formats in GIS.
Plotly supports GeoJSON for displaying:
Countries
States
Counties
ZIP codes
Administrative boundaries
Custom polygons
Example:
fig = px.choropleth(
df,
geojson=counties,
locations="county_id",
color="population"
)GeoJSON enables developers to visualize custom geographic regions instead of relying solely on built-in map boundaries.
Integrating Plotly with GeoPandas
GeoPandas simplifies working with shapefiles and spatial data in Python.
Typical workflow:
import geopandas as gpd
gdf = gpd.read_file("counties.shp")You can then merge spatial data with business metrics before visualizing them using Plotly.
This combination is ideal for advanced GIS analytics.
Enhancing Maps with Custom Styling
Plotly permits limitless customization.
The most sought-after features comprise:
Custom color combinations
Use of Mapbox styles
Variety of marker icons
Names of markers
Hover templates
Legends
Animations
Various layers of data
Example:
fig.update_layout(
map_style="carto-positron",
height=700
)
Careful customization increases readability and retention of visitors.
Creating Dashboards with Dash
When used together with Dash, Plotly becomes even more powerful.
Dashboards offer interactive maps, and users can also avail of some additional features including:
Interactive maps
Filters
Drop-down menus
Time sliders
Availability of search mode
Linked charts
KPI cards
Dashboards allow analyzing geographic data.
Performance Tips for Large GIS Datasets
Performance may be affected when working with large-scale spatial data.
A few points to keep in mind include:
Reduce the number of unnecessary columns.
Simplifying complex shapes
Aggregation of nearby points
Efficient loading of data
Clustering of data
Interactive geospatial visualization is now very important to organizations that depend on geospatial intelligence. Because of Plotly's innovative technology, it has now become easy to produce interactive maps online that look attractive and informative at the same time.
Plotly has various features such as scatter maps, choropleth maps, density heatmaps, GeoJSON support, and printing dashboards with Dash, making it possible to create advanced GIS applications at low cost.
If you need to analyze geographic data and turn it into valuable information, Plotly is one of the best Python libraries used for contemporary GIS visualization.
To learn more about Plotly and its geospatial capabilities, click here.
For more information or any questions regarding the LizardTech suite of products, please don't hesitate to contact us at:
Email: info@geowgs84.com
USA (HQ): (720) 702–4849
(A GeoWGS84 Corp Company)
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