SKU/Artículo: AMZ-B0FN811KZX
Learn Python for GIS: A Beginner’s Guide to Mapping, Spatial Data, and Modern Tools for Geospatial Analysis
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.69 kg
0.69 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Learn Python for GIS: A Beginner’s Guide to Mapping, Spatial Data, and Modern Tools for Geospatial AnalysisUnlock the power of geospatial intelligence using the most accessible and widely adopted language in modern data science—Python. This beginner-friendly, practice-driven book takes you from zero to production-level GIS automation using only open-source tools.Whether you're a student, aspiring GIS developer, urban planner, data analyst, or remote sensing enthusiast, this hands-on guide walks you through every critical concept, tool, and workflow required to build real-world geospatial applications from scratch.This is not just another theory-heavy manual. You’ll build complete projects from day one—manipulate shapefiles, process satellite imagery, calculate NDVI, visualize terrain, and publish your own interactive dashboards on the web.Highlights of what you'll learn:How to use GeoPandas, Leafmap, Shapely, Rasterio, PyProj, and other essential libraries.Automate batch processing of shapefiles, TIFFs, and terrain layers using Python scripting.Perform real-time NDVI calculations from Sentinel-2 satellite imagery.Analyze elevation, hydrology, land cover, and watershed data for urban planning.Create fully interactive GIS dashboards using Streamlit and Leafmap.Deploy your dashboards on platforms like Streamlit Cloud, Hugging Face, or Heroku.Export maps and outputs in various formats: HTML, PNG, GeoJSON, and more.Troubleshoot common errors like CRS mismatches, raster loading failures, and library conflicts.Build reusable CLI-style tools and schedule your scripts via CRON or Windows Task Scheduler.Use Docker, Conda, and Binder to create reproducible, production-ready environments.Bonus content included:A GIS Python Toolkit Cheat Sheet for fast syntax recall.Curated open datasets from USGS, Copernicus, OpenStreetMap, and Natural Earth.Download links, licensing notes, and metadata guides for your portfolio projects.A Career Launchpad Appendix to help you break into GIS tech: certifications, freelance jobs, open data communities, and remote work boards.If you’re looking for a practical, future-proof way to learn Python for geospatial workflows, this is the only book you need. No fluff. No outdated tools. Just modern, automated, and production-grade GIS—from beginner to deploy-ready.👉 Get your copy now and start building the next generation of geospatial solutions today.
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AR$86.314
60% OFF
AR$34.523
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