Insights about project management, GIS, and how technology is transforming industries operating in the physical world.
A .gpkg is just a SQLite database. We tested GeoPackage and Shapefile side-by-side with GDAL 3.13.1: field names truncated to 10 characters, NULLs turned into empty strings, accents mangled by a single-byte encoding. We also checked which ogr2ogr commands work and where .gpkg is wrong.
Every URL on this page was tested on 14 July 2026 — status code, content type, response time. 60+ free WMS, WMTS and XYZ endpoints with real layer names, plus the three dead links that still appear on every other list.
How geocoding solves common pain points for energy companies: asset location, network maintenance, solar park planning, and field-to-office integration with accurate maps and AI.
Learn practical, real-world methods to upload and visualize shapefiles on the web: common issues (projection, encoding, performance), a preparation checklist, sector examples, and how PM + GIS + AI streamline the workflow.
Everything you need to know about the .shp format: file structure, technical limitations, coordinate systems, and how to open shapefiles in modern tools.
Learn how to open, inspect, and share KMZ files directly in your browser: practical steps, projection and privacy considerations, and examples for construction, energy, and disaster response. Use our online viewer to speed up projects.
Losses from soiling, invisible microcracks, inverter failures, and pest damage are real risks that erode the profitability of solar plants. This guide shows how monitoring, mapping, and predictive maintenance cut costs and extend system lifespan.
Tracking environmental data can be chaotic: scattered measurements, manual reports, and the risk of non-compliance. See how to combine field management, georeferenced maps, and automation to simplify monitoring and speed up reporting.
One of our clients in the energy regulatory sector faced manual processes, fragmented data and critical reporting delays. See how we combined field management, GIS and AI to transform inspections, reduce rework and speed up response to nonconformities.
How organizing field work during data collection and inspection of solar panel components reduces costs: planning, use of GIS, digital checklists and AI to avoid rework and optimize maintenance.