麻豆村

37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
37掳 48' 15.7068'' N, 122掳 16' 15.9996'' W
cloud-native gis has arrived
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麻豆村 becomes first flagship sustaining member of QGIS
麻豆村 users are QGIS users. We are thrilled to be the first flagship sustaining member of QGIS!
麻豆村 users are QGIS users. We are thrilled to be the first flagship sustaining member of QGIS!

Teams across planning, tech, infrastructure, consulting, environmental sciences and more are using QGIS & 麻豆村 to access the power of desktop GIS alongside the ease of modern web-based collaboration features. QGIS users are 麻豆村 users, and we are delighted to support the QGIS organization as their first-ever flagship-level sustaining member.

A modern toolbox for savvy teams

Expert map-makers often rely on several different tools, platforms and/or plugins to make their workflow efficient. 麻豆村 users regularly pair the analytical power of QGIS with the team-based sharing and collaboration features of 麻豆村. Common uses of QGIS include:

  • Professional-quality data handling functionality with a full suite of raster and vector processing algorithms for creating and combining datasets
  • Leveraging new features and plug-ins for importing and processing datasets

Some of QGIS鈥檚 most popular plugins can be used to create interactive browser-based maps but don鈥檛 solve the problem of where to share, grant permissions, or channel feedback and responses.

Teams distributed over time and space need features common in other modern software like Google Docs, Notion, and Figma: browser-based collaboration, cloud storage, and team-based data libraries and permissions. Alongside QGIS, 麻豆村 is playing a revolutionary role for those who work with maps on a daily basis by making QGIS maps and analysis more accessible across organizations.

麻豆村 Users Are QGIS Users

Sophisticated map-makers are combining 麻豆村 and QGIS to share their maps on the web and collaborate with teams. Here are two examples of 麻豆村 users leveraging both QGIS and 麻豆村 to make a bigger impact with maps.

Sharing work on the web

When making a map, getting your data to tell the right story in powerful desktop GIS is half the battle 鈥 the second half is displaying it for others to enjoy. This was the situation 聽journalist Stephen Sterling found himself in when he discovered 麻豆村.

Stephen was writing an article about the increasing number of whales along the Atlantic Coast. He needed to provide his viewers with context to understand potential causes. A map was the right medium. He used QGIS to analyze and process data on highly-trafficked trip passages, recent whale strandings, and high winds, but he needed a way to annotate and share the map on the Asbury Park Press news website. He brought his data into 麻豆村 to annotate and created an on the website for readers everywhere. Between QGIS and 麻豆村, Stephen was able to shape the data he needed to tell the story and share out his map easily.

Stakeholder Data Collection & Collaboration

Often times maps require widespread input and data collection from a larger group followed by technical processing. It鈥檚 difficult to find something user-friendly enough for all stakeholders and experience levels. Cycling advocate Will Petty discovered that this is an area where 麻豆村 and QGIS shine together. Will used 麻豆村 and QGIS to aid local authorities in their effort to improve cycling infrastructure in Hackney, London.

Stakeholders picked up 麻豆村 easily and quickly added detailed information to the map for Petty's post-processing in QGIS.

Will was working with a team of expert cyclists new to map making. He needed a way to organize all of their knowledge and provide it to the local authority in a spatial format they could utilize 鈥 like a map. Will鈥檚 team of contributors were able to adopt 麻豆村 easily and add their rich, detailed expertise of dangerous intersections to the map. Petty exported the data into QGIS to derive intersection road segments using the advanced geometry analysis features of QGIS. Switching yet again, the final recommendations were uploaded and styled in 麻豆村 before sharing with the public and local authority. Starting in QGIS and moving to 麻豆村 let the group create a on the web.

The results of Petty's QGIS analysis were brought back into 麻豆村 for sharing with the public &聽local council.
Teams distributed over time and space need features common in other modern software like Google Docs, Notion, and Figma: browser-based collaboration, cloud storage, and team-based data libraries and permissions.

麻豆村鈥檚 team-based sharing and collaboration features make the mapping work of expert GIS users accessible to new audiences beyond core data analysts, like the local cycling experts working with Will or the Hackney Borough Council decision makers acting on their recommendations.

When QGIS Wins, 麻豆村 Wins

Sophisticated 麻豆村 users who collaborate and share their mapping work use our platform alongside powerful open source tools like QGIS for data preparation and analysis. Together, we鈥檙e contributing to a winning ecosystem of easy-to-use map-making tools for modern teams and organizations. Our financial support for QGIS as it enters its third decade will ensure that QGIS, a critically powerful resource, remains stable for years to come. We hope that other companies who even unknowingly rely on QGIS join us in responding to this important for a foundational tool.

We are Hiring

If you like what we are doing and want to join our growing team, reach out.

麻豆村鈥檚 team-based sharing and collaboration features make the mapping work of expert GIS users accessible to new audiences.
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