Elevate Your Decision-Making with Advanced Geospatial Analytics and Insights
In an increasingly complex business landscape, organizations need the ability to analyze and leverage location-based data effectively. Location Intelligence combines advanced mapping, spatial analysis, and data visualization tools to enable businesses to uncover critical insights that inform strategic decisions. Whether you’re optimizing supply chains, enhancing customer targeting, or improving operational efficiency, Location Intelligence provides the tools you need to succeed.
This solution integrates seamlessly with existing data sources, allowing for a holistic view of your operations. By harnessing the power of geospatial analytics, businesses can identify trends, forecast demand, and streamline processes, leading to improved outcomes across various sectors, including retail, logistics, urban planning, and emergency management.
Hunting for spatial data comes naturally now. There seems to be less and less opportunity for doubts when we could attach a pair of coordinates to some places.
For work and hobby, hunting for data take almost half of the usable hours I set aside to execute certain objectives; if not 100%. Although the internet is a vast plain of data, not all of them are usable. The democratization of data is a subject that is to translucent to discuss but to solid to argue with. Thus, with differing opinions, we get different versions of them online. Here are some of the interesting data platforms I manage to scour based on their thematic subject
🌳 Nature and Environment
Delta at Risk - Profiling Risk and Sustainability of Coastal Deltas of the World. I found this while lamenting on how people love asking for data addition into their maps at the eleventh hour. I find their confidence in my skills quite misleading but flattering nonetheless. But it does not make it any less troublesome.
Protected Planet - Discover the world's protected and conserved areas. This platform includes not just data of protected areas, but also other effective area-based conservation measures like ICCAs IUCN listing and as the website claims, it is updated regular via submissions from agencies. So far, I found this platform to be the most convenient since it rounds up all possible conservation-based themes which also includes World Heritage Sites.
Global Forest Change (2000-2020) - The global forest extent change since 2000 to the current year or lovingly referred to as the Hansen data by most forestry RS specialist. This data is updated annually and to be honest, the platforms are literally everywhere. But this platform is legitimate under Earth Engine Apps and you can refer to Google Earth Engine for future data updates to ease your search.
👩⚖️ Administrative Data
GADM - Map and spatial data for all countries and their sub-divisions.
🏦 Built-environment Data
OpenStreet Map - This database is the most amazing feat of tech-aware crowdsourcing. A little more than 2 decades ago, some 'experienced' gate-keeping professionals would have refuted its legitimacy within an inch of their lives but OSM has proven that time prevails when it comes to bringing the accessibility and network data into practical use. I am not that adept with downloading from this website so I go directly to a more manual data download. My favorite is the Geofabrik Download but you can also try Planet OSM.
🎮 Other Cool Data
OpenCell ID - Open database platform of global cell towers. Cleaning the data is a nightmare but I think it is just me. I have little patience for cerebral stuff.
So, those are some of the data I managed to dig for personal projects. Hope it helps you guys too!
I have already demonstrated various possibilities for geocoding spatial data in the form of city or location names in R, using APIs such as the one provided by Open Street Map.
In this post I will demonstrate the possibility of geocoding location names in Python, using Geopy. Geopy is a Python module that allows geocoding of strings by providing access to various geocoding services.
Geographical Information System (GIS) proves to be an important tool in the study of Hydrology. In the era of climate change, we cannot depend on conventional methods of survey, hence we need some exclusive techniques and GIS is one of them. Watershed is to be analyzed and decision-makers can make better choices when it is …
