Sphere of Influence

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The Vital Work of Social Enterprises https://lnkd.in/gQGHKTt8

Day 13 #30DayMapChallenge - New Tools Use a tool you’ve never tried before. The challenge has always been about trying new things. Use a tool, software, or drawing technique you’ve never worked with before. 🧪🔧 For most of my webGIS applications I have been using HTML, CSS and Javascript but today we mix it up a bit and utilse Python and Streamlit_folium to create a local app. https://lnkd.in/euteihqy

Day 12 #30DayMapChallenge - Time and space Map something where time matters. Visualize change over time—urban growth, migration, or environmental shifts. Show the relationship between time and geography. ⏳🌍 I have created a webGIS using climate data from theLIST in Tasmania. Scroll through various layers that are being servers from geoserver by DPIPWE and turn your volume on as I have added some weather sounds depending on the category :) View the full app uploaded to Azure https://lnkd.in/gwBYV9dJ

Day 11 #30DayMapChallenge The Arctic. Whether it’s ice coverage, wildlife habitats, or the effects of climate change, this day is all about mapping the cold extremes of the Arctic. ❄️🧊 Well I decided to go down under and look at the Antarctic instead and came across the Antarctic Digital Database So rather than reinvent the wheel, check it out here https://add.scar.org/

𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗨𝗿𝗯𝗮𝗻 𝗦𝗽𝗮𝗰𝗲𝘀: 𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗔𝗜 𝗼𝗻 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝘆 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 Smart cities represent the future of urban living, integrating technology and data-driven solutions to enhance efficiency, sustainability, and quality of life for residents. At the heart of smart city development lies the role of artificial intelligence (AI) within Geographic Information Systems (GIS), revolutionising how cities plan, optimise, and manage critical infrastructure such as transportation networks, utilities, and public services. In this blog post, we delve into the multifaceted role of AI in GIS for smart city infrastructure planning in Australia, focusing on its implications and benefits for urban development. 📗Read full post here on my GIS blog 🔗https://lnkd.in/eUVkWkKk ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz

Day 10 #30DayMapChallenge Pen and Paper My first hand drawn, hand scribed map produced in 1990.

Day 9 - #30DayMapChallenge - AI Only This day is all about prompt engineering. Use AI tools like DALL-E, MidJourney, Stable Diffusion, or ChatGPT with geospatial capabilities to create a map based on AI-generated content. The challenge is to get the right prompt and critically assess the output—how well does AI capture or distort the map's intent? Using ChatGPT and DALL-E, here's the 3D rendered image of Tasmania, showcasing the island's terrain and coastal contours with a realistic, topographic effect. 

𝗛𝗮𝗿𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗜 𝗮𝗻𝗱 𝗚𝗜𝗦 𝗳𝗼𝗿 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮 Natural disasters pose significant challenges to communities, infrastructure, and ecosystems across Australia. From earthquakes and floods to wildfires, the ability to predict and manage these disasters effectively is crucial for minimising risks and protecting lives and property. This blog post explores how artificial intelligence (AI) enhances Geographic Information Systems (GIS) for predicting and managing natural disasters, focusing on the unique context of Australia's diverse landscapes and environmental challenges. 📗Read full post here on my GIS blog 🔗https://lnkd.in/gyfUcnmw ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz