π Exciting News for GIS Enthusiasts! π
π Weβre happy to introduce GISCARTA Self-Service Portal β your go-to page for accessing all the essential information and tools you need to manage and build your geospatial projects.
π Whether you're setting up your first GIS project or fine-tuning map layers and widgets, the portal provides step-by-step documentation to guide you through every feature. From map building to advanced layer display options, it's all at your fingertips.
https://giscarta.com/docs
π Weβre happy to introduce GISCARTA Self-Service Portal β your go-to page for accessing all the essential information and tools you need to manage and build your geospatial projects.
π Whether you're setting up your first GIS project or fine-tuning map layers and widgets, the portal provides step-by-step documentation to guide you through every feature. From map building to advanced layer display options, it's all at your fingertips.
https://giscarta.com/docs
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π Good day everyone!
A new Geoprocessing Tool on GISCARTA: Buffering π
Buffering is a fundamental technique in GIS that allows users to analyze proximity. In this example, we visualized CafΓ©s, Supermarkets and Pharmacies within 250m, 500m, 1000m of metro stations in Vienna, helping businesses make smarter location-based decisions.
π Why buffering matters:
π Retail can identify optimal locations near transit hubs
π₯ Healthcare can assess service accessibility
π’ Real estate can evaluate property value influences
π Urban planning can ensure equitable amenity distribution
If you're optimizing store placement or planning public infrastructure, buffering gives you the spatial context you need to act with confidence
Check it yourself: https://map.giscarta.com/viewer/6e630bf3-b9cb-4b6f-b166-20646a7216cd?_gl=1*18uwovj*_gcl_au*MzQ0MjUzOTgxLjE3NDQ3MDAzODg
A new Geoprocessing Tool on GISCARTA: Buffering π
Buffering is a fundamental technique in GIS that allows users to analyze proximity. In this example, we visualized CafΓ©s, Supermarkets and Pharmacies within 250m, 500m, 1000m of metro stations in Vienna, helping businesses make smarter location-based decisions.
π Why buffering matters:
π Retail can identify optimal locations near transit hubs
π₯ Healthcare can assess service accessibility
π’ Real estate can evaluate property value influences
π Urban planning can ensure equitable amenity distribution
If you're optimizing store placement or planning public infrastructure, buffering gives you the spatial context you need to act with confidence
Check it yourself: https://map.giscarta.com/viewer/6e630bf3-b9cb-4b6f-b166-20646a7216cd?_gl=1*18uwovj*_gcl_au*MzQ0MjUzOTgxLjE3NDQ3MDAzODg
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π Good day everyone!
Google Street View in Pop-ups on GISCARTA π
π GIS: The Bridge Between Infrastructure Resilience and Climate Risk Management π πͺ
GIS isn't just about maps β it's about making critical decisions with spatial awareness. Ands weβve just launched a new interactive example to show how.
πΊ Whatβs inside the map:
π Google Street View iFrame embedded for every event location
π Three interactive dashboards tied to real incident data
π Dynamic filters and spatial queries for fast monitoring of alarm status
π° Map history showing where and when accidents happened
π Detailed attributes for each incident
π Explore the full map
This is how companies can use GIS to:
- Prevent future accidents
- Monitor environmental threats
- Enhance safety protocols
- Make data-backed decisions at every level
In todayβs world, where infrastructure and climate risks intersect more than ever, GIS empowers companies to act smart, fast, and safely.
Google Street View in Pop-ups on GISCARTA π
π GIS: The Bridge Between Infrastructure Resilience and Climate Risk Management π πͺ
GIS isn't just about maps β it's about making critical decisions with spatial awareness. Ands weβve just launched a new interactive example to show how.
πΊ Whatβs inside the map:
π Google Street View iFrame embedded for every event location
π Three interactive dashboards tied to real incident data
π Dynamic filters and spatial queries for fast monitoring of alarm status
π° Map history showing where and when accidents happened
π Detailed attributes for each incident
π Explore the full map
This is how companies can use GIS to:
- Prevent future accidents
- Monitor environmental threats
- Enhance safety protocols
- Make data-backed decisions at every level
In todayβs world, where infrastructure and climate risks intersect more than ever, GIS empowers companies to act smart, fast, and safely.
π3
π New Release on GISCARTA! π―
Weβre thrilled to share the latest updates on our platform. Hereβs whatβs new:
1οΈβ£ Added display of the zoom level in the Zoom widget β
2οΈβ£ Added the ability to export a style from one layer and apply it to another layer! πΊοΈ
And this is possible even for layers with different types of geometry! (see video)
3οΈβ£ For linear objects, added the ability to display a line outline and create a drawing on the line (including the direction of movement!) β‘οΈ
4οΈβ£ Added a right-click on the map! Now you can conveniently copy the click coordinate, as well as put a mark on the map!
5οΈβ£ Lots of nice design updates - the platform is getting more and more beautiful)) ποΈ
6οΈβ£ An attribute table widget has been added to the mobile layout π²
7οΈβ£ Some geoprocessing widgets have been updated
And the next release will be completely new!
ππWe are always glad to hear your feedback!
Weβre thrilled to share the latest updates on our platform. Hereβs whatβs new:
1οΈβ£ Added display of the zoom level in the Zoom widget β
2οΈβ£ Added the ability to export a style from one layer and apply it to another layer! πΊοΈ
And this is possible even for layers with different types of geometry! (see video)
3οΈβ£ For linear objects, added the ability to display a line outline and create a drawing on the line (including the direction of movement!) β‘οΈ
4οΈβ£ Added a right-click on the map! Now you can conveniently copy the click coordinate, as well as put a mark on the map!
5οΈβ£ Lots of nice design updates - the platform is getting more and more beautiful)) ποΈ
6οΈβ£ An attribute table widget has been added to the mobile layout π²
7οΈβ£ Some geoprocessing widgets have been updated
And the next release will be completely new!
ππWe are always glad to hear your feedback!
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π Good day everyone!
π Potential Flood Zones in Rotterdam π
How will coastal cities be affected by rising sea levels?
We created an interactive map that visualizes flood risks in Rotterdam under a scenario of a 2-meter sea level rise.
πΊ The map is based on a digital elevation model (Mapzen) combined with population density and urban development data.
π This tool supports:
β’ Spatial risk analysis
β’ Impact assessment on population and infrastructure
β’ Urban planning and emergency response decision-making
π Explore the map: https://map.giscarta.com/viewer/1c1e619b-5590-4b39-af89-8eadc977d770
π Potential Flood Zones in Rotterdam π
How will coastal cities be affected by rising sea levels?
We created an interactive map that visualizes flood risks in Rotterdam under a scenario of a 2-meter sea level rise.
πΊ The map is based on a digital elevation model (Mapzen) combined with population density and urban development data.
π This tool supports:
β’ Spatial risk analysis
β’ Impact assessment on population and infrastructure
β’ Urban planning and emergency response decision-making
π Explore the map: https://map.giscarta.com/viewer/1c1e619b-5590-4b39-af89-8eadc977d770
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π Good day everyone!
π Fast Food Brands in Manhattan
The project showcases the most popular fast food brands β Burger King, KFC, McDonald's, Subway, and Taco Bell β all located in the very heart of New York City: Manhattan.
π Dashboards and Insights
Based on this layer, dashboards were created to show:
β’ The distribution of various brands across districts
β’ The total number of locations
β’ Their proximity to subway stations
π Subway Proximity Analysis
To evaluate how close fast food spots are to the subway, buffer zones of 500 meters and 1000 meters were constructed. The project also includes subway lines and station locations throughout New York City.
π₯ Heatmap and Brand Density
A toggleable heatmap layer displays the density of fast food locations by brand.
π§ Interactive Map Story
With the help of an interactive map story, users can quickly explore the key spatial patterns of fast food distribution in Manhattan.
π Explore the map here
π Fast Food Brands in Manhattan
The project showcases the most popular fast food brands β Burger King, KFC, McDonald's, Subway, and Taco Bell β all located in the very heart of New York City: Manhattan.
π Dashboards and Insights
Based on this layer, dashboards were created to show:
β’ The distribution of various brands across districts
β’ The total number of locations
β’ Their proximity to subway stations
π Subway Proximity Analysis
To evaluate how close fast food spots are to the subway, buffer zones of 500 meters and 1000 meters were constructed. The project also includes subway lines and station locations throughout New York City.
π₯ Heatmap and Brand Density
A toggleable heatmap layer displays the density of fast food locations by brand.
π§ Interactive Map Story
With the help of an interactive map story, users can quickly explore the key spatial patterns of fast food distribution in Manhattan.
π Explore the map here
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π Good day everyone!
This project features places in Sydney where you can eat or buy food. π½π
The point layer includes:
β’ Restaurants π΄
β’ CafΓ©s βοΈ
β’ Fast food spots π
β’ Pubs π»
β’ Bars πΈ
β’ Supermarkets π
β’ Bakeries π₯
β’ Liquor stores πΎ
Polygon features:
β’ Sydney district boundaries πΊ
β’ Food outlets (heat map) π‘
β’ Alcohol sales areas π·
With the help of dashboards, you can explore patterns and differences in the distribution of food outlets and grocery stores. πβ¨
This project features places in Sydney where you can eat or buy food. π½π
The point layer includes:
β’ Restaurants π΄
β’ CafΓ©s βοΈ
β’ Fast food spots π
β’ Pubs π»
β’ Bars πΈ
β’ Supermarkets π
β’ Bakeries π₯
β’ Liquor stores πΎ
Polygon features:
β’ Sydney district boundaries πΊ
β’ Food outlets (heat map) π‘
β’ Alcohol sales areas π·
With the help of dashboards, you can explore patterns and differences in the distribution of food outlets and grocery stores. πβ¨
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π Good day everyone!
π Exciting news! We present 3D on GISCARTA!
Whether for city planning, environmental monitoring, or real estate development, 3D tools offer a powerful new dimension to your GIS workflows.
π§² Stay ahead in geospatial technologyβexplore the future of mapping with GISCARTA!
π Exciting news! We present 3D on GISCARTA!
Whether for city planning, environmental monitoring, or real estate development, 3D tools offer a powerful new dimension to your GIS workflows.
π§² Stay ahead in geospatial technologyβexplore the future of mapping with GISCARTA!
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π Good day everyone!
We are thrilled to present our new project on GISCARTA: "Oil of Caspian 3D"! π
This powerful visualization showcases the vast oil and gas fields of the Caspian Sea region β one of the world's most significant energy hubs. ππ’β‘οΈ
Dive into the projectβs stunning 3D environment where you can:
β¨ Explore the bottom of the world's largest lake at realistic depths
β¨ Switch between tectonic layers, reservoir zones, and contract blocks
β¨ Analyze field sizes, production data, and reserve estimates interactively
Follow the immersive Map Story to understand:
π The tectonic features of the Caspian basin
π Distribution of major hydrocarbon deposits
π§ Exploration history and key players in the region
Ideal for professionals in energy, geology, GIS, and investment sectors! π§βπ»π©βπΌπ
We are thrilled to present our new project on GISCARTA: "Oil of Caspian 3D"! π
This powerful visualization showcases the vast oil and gas fields of the Caspian Sea region β one of the world's most significant energy hubs. ππ’β‘οΈ
Dive into the projectβs stunning 3D environment where you can:
β¨ Explore the bottom of the world's largest lake at realistic depths
β¨ Switch between tectonic layers, reservoir zones, and contract blocks
β¨ Analyze field sizes, production data, and reserve estimates interactively
Follow the immersive Map Story to understand:
π The tectonic features of the Caspian basin
π Distribution of major hydrocarbon deposits
π§ Exploration history and key players in the region
Ideal for professionals in energy, geology, GIS, and investment sectors! π§βπ»π©βπΌπ
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π Good day everyone!
Bivariate maps on GISCARTA !
Read more about it in our guide in blog!
Bivariate maps advantages:
Clear visualization of correlations between variables π
Enhanced decision-making with multi-layer insights π
Improved identification of patterns and anomalies π
Interactive features for better data exploration π±οΈ
Customizable options to suit specific analysis needs π¨
Leverage bivariate maps on GISCARTA unlock richer spatial data stories!
Bivariate maps on GISCARTA !
Read more about it in our guide in blog!
Bivariate maps advantages:
Clear visualization of correlations between variables π
Enhanced decision-making with multi-layer insights π
Improved identification of patterns and anomalies π
Interactive features for better data exploration π±οΈ
Customizable options to suit specific analysis needs π¨
Leverage bivariate maps on GISCARTA unlock richer spatial data stories!
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π Good day everyone!
π Exciting news! New project on GISCARTA!
Link to the project
β’ πΊοΈ 3D map with noise pollution levels inspired by Lukas Martinelliβs project.
β’ π§© OSM layers are used as a basis, with corresponding buffers built on them.
β’ π Layers can be viewed using Storybook.
β’ π The map includes infographics that change depending on the selected layers.
β’ π Sources: OSM, Global Noise Pollution Map.
π Exciting news! New project on GISCARTA!
Link to the project
β’ πΊοΈ 3D map with noise pollution levels inspired by Lukas Martinelliβs project.
β’ π§© OSM layers are used as a basis, with corresponding buffers built on them.
β’ π Layers can be viewed using Storybook.
β’ π The map includes infographics that change depending on the selected layers.
β’ π Sources: OSM, Global Noise Pollution Map.
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π Good day everyone!
π Exciting news! New project on GISCARTA!
Link to the project
ππ½ New York never sleeps β and neither does its transport system.
We mapped the cityβs heartbeat: population density, road networks, subway lines, ferry routes, and airports β all in one place.
On the map you can:
πΉ Spot the most crowded neighborhoods
πΉ Explore the density of the road network and see where streets are most connected
πΉ Trace the busiest subway corridors
πΉ Follow the Staten Island Ferry across the harbor
Dive into the dashboards, explore the layers, and discover how 8.5 million people keep New York moving. π
π Explore the map and find your own NYC journey!
π Exciting news! New project on GISCARTA!
Link to the project
ππ½ New York never sleeps β and neither does its transport system.
We mapped the cityβs heartbeat: population density, road networks, subway lines, ferry routes, and airports β all in one place.
On the map you can:
πΉ Spot the most crowded neighborhoods
πΉ Explore the density of the road network and see where streets are most connected
πΉ Trace the busiest subway corridors
πΉ Follow the Staten Island Ferry across the harbor
Dive into the dashboards, explore the layers, and discover how 8.5 million people keep New York moving. π
π Explore the map and find your own NYC journey!
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π Good day everyone!
π¦πΊ Population statistics for all of Australia on GISCARTA!
π§ You can explore the data that interests you using dashboards and filters
πEspecially Pyramid chart - this is really awesome!!!
π Storybook allows you to quickly switch between layers for better comparison and insight ππΊ
Source: Australian Bureau of Statistics
We showcased:
π Population of Australia
β Based on hexagons from humdata.org and Local Government Areas π
π Population of Queensland
β Displayed using humdata.org hexagons
πΆπ΅ Age group distribution
β Visualized by Local Government Areas
π Marital status
β Mapped across Local Government Areas
π Unemployment rate
β Percentage shown by Local Government Areas
π Enjoy exploring
π¦πΊ Population statistics for all of Australia on GISCARTA!
π§ You can explore the data that interests you using dashboards and filters
πEspecially Pyramid chart - this is really awesome!!!
π Storybook allows you to quickly switch between layers for better comparison and insight ππΊ
Source: Australian Bureau of Statistics
We showcased:
π Population of Australia
β Based on hexagons from humdata.org and Local Government Areas π
π Population of Queensland
β Displayed using humdata.org hexagons
πΆπ΅ Age group distribution
β Visualized by Local Government Areas
π Marital status
β Mapped across Local Government Areas
π Unemployment rate
β Percentage shown by Local Government Areas
π Enjoy exploring
π5
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π Good day everyone!
π New project on GISCARTA!
ποΈ 3D Buildings
π Metro Stations
π’ Polygonal Metro Accessibility Zones
π½οΈ Food Places
π‘ Potential Locations for New Food Places
ποΈ Berlin Districts & Neighborhoods (Population & Density) π₯
π For full immersion in the topic, we recommend using the StoryMap and Dashboards π₯π
π New project on GISCARTA!
ποΈ 3D Buildings
π Metro Stations
π’ Polygonal Metro Accessibility Zones
π½οΈ Food Places
π‘ Potential Locations for New Food Places
ποΈ Berlin Districts & Neighborhoods (Population & Density) π₯
π For full immersion in the topic, we recommend using the StoryMap and Dashboards π₯π
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π Good day everyone!
#30daymapchallenge day 14: Data: OpenStreetMap
https://map.giscarta.com/viewer3d/885050aa-a8bc-42de-9948-7c498a89e00e
We've gathered, styled, and visualized OSM data to show Chicago from a new perspective. Enjoy the exploration!
#30daymapchallenge day 14: Data: OpenStreetMap
https://map.giscarta.com/viewer3d/885050aa-a8bc-42de-9948-7c498a89e00e
We've gathered, styled, and visualized OSM data to show Chicago from a new perspective. Enjoy the exploration!
β€3
π New Release on GISCARTA! π―
Weβre thrilled to share the latest updates on our platform. Hereβs whatβs new:
1οΈβ£ Adding new fields to existing layersβ
2οΈβ£ Copying objects from one layer to another!
3οΈβ£ Dashboards in InfoWindows β‘οΈ
4οΈβ£ Geoprocessing: Polygon to line
5οΈβ£ Geoprocessing: Thiessen polygons ποΈ
6οΈβ£ Extent limitation (zoom in and zoom out) πΊοΈ
7οΈβ£ Distance measurement: nautical miles added
https://giscarta.com/docs
ππWe are always glad to hear your feedback!
Weβre thrilled to share the latest updates on our platform. Hereβs whatβs new:
1οΈβ£ Adding new fields to existing layersβ
2οΈβ£ Copying objects from one layer to another!
3οΈβ£ Dashboards in InfoWindows β‘οΈ
4οΈβ£ Geoprocessing: Polygon to line
5οΈβ£ Geoprocessing: Thiessen polygons ποΈ
6οΈβ£ Extent limitation (zoom in and zoom out) πΊοΈ
7οΈβ£ Distance measurement: nautical miles added
https://giscarta.com/docs
ππWe are always glad to hear your feedback!
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π Good day everyone!
π Exciting news! New feature on GISCARTA!
Dashboards for each feature
Customize personalized dashboards for each feature in a layer. Now user can create an information window from texts, tables, images, videos, buttons, iframes, and dashboards!!! β
πΊ This map explores how New York Cityβs population is distributed across neighborhoods using Neighborhood Tabulation Areas (NTAs), a neighborhood-scale geography created by the NYC Department of City Planning. It shows total population alongside key demographic characteristics, including racial and ethnic composition, age group structure, and sexβage patterns, offering a more detailed look at who lives where in the city
π All demographic data are based on the American Community Survey (ACS) 5-Year Estimates for 2019β2023, accessed through the NYC Population FactFinder, while the neighborhood boundaries come from NYC Open Data and follow the 2020 NTA definitions.
π Exciting news! New feature on GISCARTA!
Dashboards for each feature
Customize personalized dashboards for each feature in a layer. Now user can create an information window from texts, tables, images, videos, buttons, iframes, and dashboards!!! β
πΊ This map explores how New York Cityβs population is distributed across neighborhoods using Neighborhood Tabulation Areas (NTAs), a neighborhood-scale geography created by the NYC Department of City Planning. It shows total population alongside key demographic characteristics, including racial and ethnic composition, age group structure, and sexβage patterns, offering a more detailed look at who lives where in the city
π All demographic data are based on the American Community Survey (ACS) 5-Year Estimates for 2019β2023, accessed through the NYC Population FactFinder, while the neighborhood boundaries come from NYC Open Data and follow the 2020 NTA definitions.
π₯°3