#gis-內容素材蒐集頻道
2026-09-03
2026-09-06
facebook.com
movie scene map是款免費的互動地圖，收錄了全球15000多個，跨越167個國家、9000多部影視作品的取景地。是粉絲聖地巡迴與查詢自己國家有哪些作品的好工具 <https://moviescenemap.com/>
2026-09-07
影像地圖定位工具 GeoLibre
https://www.threads.com/share/BABQaj3umG/
https://www.threads.com/share/BABQaj3umG/
Threads 
2026-09-10
歷史事件不只發生在時間軸上，也發生在具體的地點裡。 Wikidata TimeTrail 是一個把 Wikidata 內容轉成互動式故事地圖的工具。使用者可以輸入歷史事件、戰爭、政權變動或其他 Wikidata 項目的名稱或 QID，再選擇想追蹤的關聯屬性，例如「重大事件」「包含部分」「成因」等，工具就會把相關項目依時間順序排列，並標示在地圖上。...
2026-09-23
【空間資訊科技】日本 OH3 帶給臺灣 GIS 新創的啟示 日本Open-Hinata3（簡稱 OH3）圖台，不是由政府所建置，也不是大型 GIS 軟體公司的產品，而主要是由曾任職於宮崎縣廳的 落合謙次 個人開發。OH3 的前身與宮崎縣的「ひなたGIS」有關。落合謙次離開原本負責資訊系統的單位後，開始以個人身分運用網路上的 Open Data...
2026-09-24
A census tells you how many people live somewhere. GIS can help you understand what that actually means. This Demographics & Housing WebGIS, made by Mohammad VahidiBorji, caught my attention because it shows something I believe is becoming increasingly important in GIS: Turning statistics into spatial intelligence. Population. Gender. Age. Literacy. Employment. Housing. Individually, these are just tables of numbers. Put them into a WebGIS, connect them to geography, and suddenly the questions become much more interesting. Where are the youngest populations? Where is population density increasing? Which areas have higher levels of unemployment? Where are housing conditions most challenging? How does the demographic structure vary from one neighbourhood to another? And perhaps most importantly: What does all of this mean for urban planning? That's where I think WebGIS becomes incredibly powerful. A traditional census report might give you hundreds of pages of statistics. A spreadsheet might give you thousands of rows. But a well-designed spatial dashboard lets decision-makers see the patterns. And once you can see the patterns, you can start asking better questions. That is the real value of GIS. Not simply putting data on a map. Connecting data to place, and place to decisions. I particularly like the combination of demographic and housing indicators here. Because cities aren't just made up of roads and buildings. They're made up of people. Their ages. Their livelihoods. Their household structures. Their access to services. And the places they call home. When those dimensions are brought together spatially, GIS becomes a powerful decision-support tool. Imagine taking this even further: - Population + land use - Population + housing quality - Population + water access - Population + healthcare facilities - Population + schools - Population + public transport - Population + heat exposure - Population + flood risk Now you're not simply asking: “Where do people live?” You're asking: “What conditions do people live under, and how well does the city serve them?” That is where WebGIS gets really interesting. And for me, this is one of the biggest opportunities in geospatial technology across rapidly growing cities in Africa and beyond. We don't just need more data. We need better ways of turning the data we already have into spatial understanding. Because a dataset can tell you what happened. A map can show you where. A WebGIS can help you explore why, where, and what to do next. That's the evolution I want to see more of in GIS. From static statistics → interactive spatial intelligence.Posted by Mashford Mahute - Geospatial on Wednesday, September 23, 2026
2026-09-30
railisland.tw 