😎 New Release on GISCARTA! 🎯
We’re thrilled to share the latest updates on our platform. Here’s what’s new:
1️⃣ Added display of the zoom level in the Zoom widget ➕
2️⃣ Added the ability to export a style from one layer and apply it to another layer! 🗺️
And this is possible even for layers with different types of geometry! (see video)
3️⃣ For linear objects, added the ability to display a line outline and create a drawing on the line (including the direction of movement!) ➡️
4️⃣ Added a right-click on the map! Now you can conveniently copy the click coordinate, as well as put a mark on the map!
5️⃣ Lots of nice design updates - the platform is getting more and more beautiful)) 🏖️
6️⃣ An attribute table widget has been added to the mobile layout 📲
7️⃣ Some geoprocessing widgets have been updated
And the next release will be completely new!
🏆🚀We are always glad to hear your feedback!
We’re thrilled to share the latest updates on our platform. Here’s what’s new:
1️⃣ Added display of the zoom level in the Zoom widget ➕
2️⃣ Added the ability to export a style from one layer and apply it to another layer! 🗺️
And this is possible even for layers with different types of geometry! (see video)
3️⃣ For linear objects, added the ability to display a line outline and create a drawing on the line (including the direction of movement!) ➡️
4️⃣ Added a right-click on the map! Now you can conveniently copy the click coordinate, as well as put a mark on the map!
5️⃣ Lots of nice design updates - the platform is getting more and more beautiful)) 🏖️
6️⃣ An attribute table widget has been added to the mobile layout 📲
7️⃣ Some geoprocessing widgets have been updated
And the next release will be completely new!
🏆🚀We are always glad to hear your feedback!
🔥1
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🌊 Potential Flood Zones in Rotterdam 🌍
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.
🗺 The map is based on a digital elevation model (Mapzen) combined with population density and urban development data.
📌 This tool supports:
• Spatial risk analysis
• Impact assessment on population and infrastructure
• Urban planning and emergency response decision-making
🔗 Explore the map: https://map.giscarta.com/viewer/1c1e619b-5590-4b39-af89-8eadc977d770
🌊 Potential Flood Zones in Rotterdam 🌍
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.
🗺 The map is based on a digital elevation model (Mapzen) combined with population density and urban development data.
📌 This tool supports:
• Spatial risk analysis
• Impact assessment on population and infrastructure
• Urban planning and emergency response decision-making
🔗 Explore the map: https://map.giscarta.com/viewer/1c1e619b-5590-4b39-af89-8eadc977d770
❤2
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🍔 Fast Food Brands in Manhattan
The project showcases the most popular fast food brands — Burger King, KFC, McDonald's, Subway, and Taco Bell — all located in the very heart of New York City: Manhattan.
📊 Dashboards and Insights
Based on this layer, dashboards were created to show:
• The distribution of various brands across districts
• The total number of locations
• Their proximity to subway stations
🚇 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.
🔥 Heatmap and Brand Density
A toggleable heatmap layer displays the density of fast food locations by brand.
🧭 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.
🔗 Explore the map here
🍔 Fast Food Brands in Manhattan
The project showcases the most popular fast food brands — Burger King, KFC, McDonald's, Subway, and Taco Bell — all located in the very heart of New York City: Manhattan.
📊 Dashboards and Insights
Based on this layer, dashboards were created to show:
• The distribution of various brands across districts
• The total number of locations
• Their proximity to subway stations
🚇 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.
🔥 Heatmap and Brand Density
A toggleable heatmap layer displays the density of fast food locations by brand.
🧭 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.
🔗 Explore the map here
🔥2❤1
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
This project features places in Sydney where you can eat or buy food. 🍽🛒
The point layer includes:
• Restaurants 🍴
• Cafés ☕️
• Fast food spots 🍔
• Pubs 🍻
• Bars 🍸
• Supermarkets 🛍
• Bakeries 🥐
• Liquor stores 🍾
Polygon features:
• Sydney district boundaries 🗺
• Food outlets (heat map) 🌡
• Alcohol sales areas 🍷
With the help of dashboards, you can explore patterns and differences in the distribution of food outlets and grocery stores. 📊✨
This project features places in Sydney where you can eat or buy food. 🍽🛒
The point layer includes:
• Restaurants 🍴
• Cafés ☕️
• Fast food spots 🍔
• Pubs 🍻
• Bars 🍸
• Supermarkets 🛍
• Bakeries 🥐
• Liquor stores 🍾
Polygon features:
• Sydney district boundaries 🗺
• Food outlets (heat map) 🌡
• Alcohol sales areas 🍷
With the help of dashboards, you can explore patterns and differences in the distribution of food outlets and grocery stores. 📊✨
👍1
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🎉 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.
🧲 Stay ahead in geospatial technology—explore the future of mapping with GISCARTA!
🎉 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.
🧲 Stay ahead in geospatial technology—explore the future of mapping with GISCARTA!
❤3
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
We are thrilled to present our new project on GISCARTA: "Oil of Caspian 3D"! 🚀
This powerful visualization showcases the vast oil and gas fields of the Caspian Sea region — one of the world's most significant energy hubs. 💎🛢⚡️
Dive into the project’s stunning 3D environment where you can:
✨ Explore the bottom of the world's largest lake at realistic depths
✨ Switch between tectonic layers, reservoir zones, and contract blocks
✨ Analyze field sizes, production data, and reserve estimates interactively
Follow the immersive Map Story to understand:
🌍 The tectonic features of the Caspian basin
📌 Distribution of major hydrocarbon deposits
🧭 Exploration history and key players in the region
Ideal for professionals in energy, geology, GIS, and investment sectors! 🧑💻👩💼📊
We are thrilled to present our new project on GISCARTA: "Oil of Caspian 3D"! 🚀
This powerful visualization showcases the vast oil and gas fields of the Caspian Sea region — one of the world's most significant energy hubs. 💎🛢⚡️
Dive into the project’s stunning 3D environment where you can:
✨ Explore the bottom of the world's largest lake at realistic depths
✨ Switch between tectonic layers, reservoir zones, and contract blocks
✨ Analyze field sizes, production data, and reserve estimates interactively
Follow the immersive Map Story to understand:
🌍 The tectonic features of the Caspian basin
📌 Distribution of major hydrocarbon deposits
🧭 Exploration history and key players in the region
Ideal for professionals in energy, geology, GIS, and investment sectors! 🧑💻👩💼📊
❤3
😎 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 📊
Enhanced decision-making with multi-layer insights 🔍
Improved identification of patterns and anomalies 🌟
Interactive features for better data exploration 🖱️
Customizable options to suit specific analysis needs 🎨
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 📊
Enhanced decision-making with multi-layer insights 🔍
Improved identification of patterns and anomalies 🌟
Interactive features for better data exploration 🖱️
Customizable options to suit specific analysis needs 🎨
Leverage bivariate maps on GISCARTA unlock richer spatial data stories!
🔥2
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🎉 Exciting news! New project on GISCARTA!
Link to the project
• 🗺️ 3D map with noise pollution levels inspired by Lukas Martinelli’s project.
• 🧩 OSM layers are used as a basis, with corresponding buffers built on them.
• 📖 Layers can be viewed using Storybook.
• 📊 The map includes infographics that change depending on the selected layers.
• 📌 Sources: OSM, Global Noise Pollution Map.
🎉 Exciting news! New project on GISCARTA!
Link to the project
• 🗺️ 3D map with noise pollution levels inspired by Lukas Martinelli’s project.
• 🧩 OSM layers are used as a basis, with corresponding buffers built on them.
• 📖 Layers can be viewed using Storybook.
• 📊 The map includes infographics that change depending on the selected layers.
• 📌 Sources: OSM, Global Noise Pollution Map.
👍1
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🎉 Exciting news! New project on GISCARTA!
Link to the project
🚇🗽 New York never sleeps — and neither does its transport system.
We mapped the city’s heartbeat: population density, road networks, subway lines, ferry routes, and airports — all in one place.
On the map you can:
🔹 Spot the most crowded neighborhoods
🔹 Explore the density of the road network and see where streets are most connected
🔹 Trace the busiest subway corridors
🔹 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. 🌍
👉 Explore the map and find your own NYC journey!
🎉 Exciting news! New project on GISCARTA!
Link to the project
🚇🗽 New York never sleeps — and neither does its transport system.
We mapped the city’s heartbeat: population density, road networks, subway lines, ferry routes, and airports — all in one place.
On the map you can:
🔹 Spot the most crowded neighborhoods
🔹 Explore the density of the road network and see where streets are most connected
🔹 Trace the busiest subway corridors
🔹 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. 🌍
👉 Explore the map and find your own NYC journey!
❤1
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🇦🇺 Population statistics for all of Australia on GISCARTA!
🧭 You can explore the data that interests you using dashboards and filters
🎉Especially Pyramid chart - this is really awesome!!!
🗂 Storybook allows you to quickly switch between layers for better comparison and insight 🔄🗺
Source: Australian Bureau of Statistics
We showcased:
📍 Population of Australia
– Based on hexagons from humdata.org and Local Government Areas 🏙
📍 Population of Queensland
– Displayed using humdata.org hexagons
👶👵 Age group distribution
– Visualized by Local Government Areas
💍 Marital status
– Mapped across Local Government Areas
📉 Unemployment rate
– Percentage shown by Local Government Areas
🎈 Enjoy exploring
🇦🇺 Population statistics for all of Australia on GISCARTA!
🧭 You can explore the data that interests you using dashboards and filters
🎉Especially Pyramid chart - this is really awesome!!!
🗂 Storybook allows you to quickly switch between layers for better comparison and insight 🔄🗺
Source: Australian Bureau of Statistics
We showcased:
📍 Population of Australia
– Based on hexagons from humdata.org and Local Government Areas 🏙
📍 Population of Queensland
– Displayed using humdata.org hexagons
👶👵 Age group distribution
– Visualized by Local Government Areas
💍 Marital status
– Mapped across Local Government Areas
📉 Unemployment rate
– Percentage shown by Local Government Areas
🎈 Enjoy exploring
👍4
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🎉 New project on GISCARTA!
🏙️ 3D Buildings
🚇 Metro Stations
🟢 Polygonal Metro Accessibility Zones
🍽️ Food Places
💡 Potential Locations for New Food Places
🏘️ Berlin Districts & Neighborhoods (Population & Density) 👥
🌟 For full immersion in the topic, we recommend using the StoryMap and Dashboards 🎥📈
🎉 New project on GISCARTA!
🏙️ 3D Buildings
🚇 Metro Stations
🟢 Polygonal Metro Accessibility Zones
🍽️ Food Places
💡 Potential Locations for New Food Places
🏘️ Berlin Districts & Neighborhoods (Population & Density) 👥
🌟 For full immersion in the topic, we recommend using the StoryMap and Dashboards 🎥📈
❤1👍1
Media is too big
VIEW IN TELEGRAM
😎 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!
❤2
😎 New Release on GISCARTA! 🎯
We’re thrilled to share the latest updates on our platform. Here’s what’s new:
1️⃣ Adding new fields to existing layers➕
2️⃣ Copying objects from one layer to another!
3️⃣ Dashboards in InfoWindows ➡️
4️⃣ Geoprocessing: Polygon to line
5️⃣ Geoprocessing: Thiessen polygons 🏖️
6️⃣ Extent limitation (zoom in and zoom out) 🗺️
7️⃣ Distance measurement: nautical miles added
https://giscarta.com/docs
🏆🚀We are always glad to hear your feedback!
We’re thrilled to share the latest updates on our platform. Here’s what’s new:
1️⃣ Adding new fields to existing layers➕
2️⃣ Copying objects from one layer to another!
3️⃣ Dashboards in InfoWindows ➡️
4️⃣ Geoprocessing: Polygon to line
5️⃣ Geoprocessing: Thiessen polygons 🏖️
6️⃣ Extent limitation (zoom in and zoom out) 🗺️
7️⃣ Distance measurement: nautical miles added
https://giscarta.com/docs
🏆🚀We are always glad to hear your feedback!
👍2
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🎉 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!!! ✅
🗺 This map explores how New York City’s 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 sex–age patterns, offering a more detailed look at who lives where in the city
📊 All demographic data are based on the American Community Survey (ACS) 5-Year Estimates for 2019–2023, accessed through the NYC Population FactFinder, while the neighborhood boundaries come from NYC Open Data and follow the 2020 NTA definitions.
🎉 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!!! ✅
🗺 This map explores how New York City’s 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 sex–age patterns, offering a more detailed look at who lives where in the city
📊 All demographic data are based on the American Community Survey (ACS) 5-Year Estimates for 2019–2023, accessed through the NYC Population FactFinder, while the neighborhood boundaries come from NYC Open Data and follow the 2020 NTA definitions.
🥰2
Media is too big
VIEW IN TELEGRAM
"City of Sydney"! This dynamic web map unlocks the economic landscape of Australia's global city, powered by Employment Survey. 🏙️📊
Explore the beating heart of Sydney in an engaging 3D environment where you can:
✨ Visualize the cityscape with buildings extruded based on real height data, revealing the true density and scale of city.
✨ Toggle between key layers, such as the number of jobs by zone and more detailed blocks for 2007 and 2022, to see where people work and how space is used.
✨ Analyze the distribution of economic activity across Employment Zones, from the towering CBD to vibrant suburban centres.
Navigate through our features to discover:
🗺️ The Storybook tool, allowing you to quickly show the main points of a given map.
📡 Live Dashboards that update with your map interactions.
🧩 The intricate puzzle of land use, highlighting the relationship between workspace, workforce, and urban planning.
Data Source: City of Sydney Data Hub, GlobalBuildingAtlas LoD1. 🏢
Explore the beating heart of Sydney in an engaging 3D environment where you can:
✨ Visualize the cityscape with buildings extruded based on real height data, revealing the true density and scale of city.
✨ Toggle between key layers, such as the number of jobs by zone and more detailed blocks for 2007 and 2022, to see where people work and how space is used.
✨ Analyze the distribution of economic activity across Employment Zones, from the towering CBD to vibrant suburban centres.
Navigate through our features to discover:
🗺️ The Storybook tool, allowing you to quickly show the main points of a given map.
📡 Live Dashboards that update with your map interactions.
🧩 The intricate puzzle of land use, highlighting the relationship between workspace, workforce, and urban planning.
Data Source: City of Sydney Data Hub, GlobalBuildingAtlas LoD1. 🏢
👍3
Media is too big
VIEW IN TELEGRAM
This project serves as a comprehensive tool for analyzing the agricultural territories of Kings County. 🌾 It integrates key data layers: the dynamics of agricultural fields over three years, precise population distribution by hexagons, up-to-date satellite imagery. This suite of layers enables tracking crop rotation, assessing land use efficiency, and analyzing the interrelationships between agriculture, infrastructure, and populated areas.
The county's primary crops include deciduous nuts like pistachios and almonds 🥜, along with vineyards 🍇, field crops (such as cotton and corn) 🌽, and truck crops (including tomatoes and lettuce) 🥬. The project, enhanced with widgets like Storybook, Layer Comparison, and dashboards, provides a practical foundation for visualizing these agricultural trends and supporting data-driven decision-making in planning, resource management, and territorial development. 📊🎯
Sources:
• Agricultural fields
• Roads and Places
• Population
The county's primary crops include deciduous nuts like pistachios and almonds 🥜, along with vineyards 🍇, field crops (such as cotton and corn) 🌽, and truck crops (including tomatoes and lettuce) 🥬. The project, enhanced with widgets like Storybook, Layer Comparison, and dashboards, provides a practical foundation for visualizing these agricultural trends and supporting data-driven decision-making in planning, resource management, and territorial development. 📊🎯
Sources:
• Agricultural fields
• Roads and Places
• Population
🔥2
Media is too big
VIEW IN TELEGRAM
😎 Good day everyone!
🏙 Digital Twin of a City: Why It Matters
A digital twin of a city is a dynamic virtual model that replicates the real urban environment using data from sensors 📡, infrastructure systems ⚡️, and geographic information 🌍.
It allows cities to simulate, analyze, and optimize urban processes before making real-world decisions.
🔎 Key applications include:
🚧 Urban planning and infrastructure development
🚦 Traffic and public transport optimization
⚡️ Energy and utilities management
🌱 Environmental monitoring and climate resilience
🚑 Emergency response and risk management
👥 Who benefits from digital city twins?
🏛 City governments and urban planners
🚉 Infrastructure and transport authorities
🔬 Environmental researchers and universities
💻 Technology companies and startups
🏢 Businesses making location-based decisions
🚀 Digital twins are becoming a core tool for building smarter, more resilient cities.
🏙 Digital Twin of a City: Why It Matters
A digital twin of a city is a dynamic virtual model that replicates the real urban environment using data from sensors 📡, infrastructure systems ⚡️, and geographic information 🌍.
It allows cities to simulate, analyze, and optimize urban processes before making real-world decisions.
🔎 Key applications include:
🚧 Urban planning and infrastructure development
🚦 Traffic and public transport optimization
⚡️ Energy and utilities management
🌱 Environmental monitoring and climate resilience
🚑 Emergency response and risk management
👥 Who benefits from digital city twins?
🏛 City governments and urban planners
🚉 Infrastructure and transport authorities
🔬 Environmental researchers and universities
💻 Technology companies and startups
🏢 Businesses making location-based decisions
🚀 Digital twins are becoming a core tool for building smarter, more resilient cities.
👍1