Programming Languages and Libraries

Processing and analyzing geographic data becomes more powerful through programming languages and libraries. This course will help you enhance your geospatial data processing skills and includes some key tools crucial for this task: GDAL, NetTopology Suite, Shapely, and PostGIS.

Orta Seviye 0(0 Derecelendirmeler) 0 Kayıtlı Öğrenciler English
Tarafından Yaratıldı Viriliotech Admin
Son Güncelleme Mon, 25-Sep-2023
+ Daha Fazla Göster
Kursa Genel Bakış

This course is designed for software developers, data scientists, and geographic information systems (GIS) professionals who want to work with geographic data using programming languages and libraries. The course allows you to enhance your geospatial data processing capabilities and effectively manage complex projects by using these powerful tools.

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  • Fundamentals of GDAL: Importing, transforming, and editing geographic data using GDAL.
  • NetTopology Suite (NTS): Performing basic geospatial operations, geometric analysis, and queries with NTS.
  • Shapely Library: Creating, manipulating, and analyzing geometric objects with Shapely.
  • Integration with PostGIS Database: Creating and querying geospatial databases using PostGIS.
  • Application Scenarios: Real-world examples of geospatial data processing using these tools.
Gereksinimler
  • Smart Device
Ders Müfredatı
12 Dersler 01:11:17 Süreler
GDAL
6 Dersler 00:46:20 Süreler
  • GDAL: Introduction + Installation
    00:06:32
  • GDAL: Converting, Resampling, Reprojecting, Clipping
    00:16:31
  • GDAL: Raster calculation
    00:06:42
  • GDAL: Rasterize and Polygonize
    00:11:35
  • GDAL Quiz
    0:05:00
  • GDAL Documentation
    .
NetTopology Suite
3 Dersler 00:07:40 Süreler
  • Fixing orientation in Net Topology Suite
    00:01:46
  • GIS: TF.Net versus the NetTopologySuite
    00:01:37
  • GIS: Transforming point using NetTopologySuite
    00:04:17
Shapely
3 Dersler 00:17:17 Süreler
  • How to create MultiPolygons in Shapely?
    00:07:11
  • Union of Polygons in Shapely
    00:06:42
  • How to create Shapely polygons from Pandas Dataframes
    00:03:24
+ Daha Fazla Göster
Diğer İlgili Kurslar
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