MGY 101 Introduction to Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 102 Remote Sensing and Image Interpretation | Quick Readable Notes For IGNOU Exam 
MGY 103 Global Navigation Satellite System and Geographic Information System | Quick Readable Notes For IGNOU Exam 
MGY 005 Techniques in Remote Sensing and Digital Image Processing | Quick Readable Notes For IGNOU Exam 
MGY 006 Spatial Analysis and Modelling | Quick Readable Notes For IGNOU Exam 
MGY 007 Applications of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 009 Advances in Remote Sensing and GIS | Quick Readable Notes For IGNOU Exam 
MGY 010 Computer Programming for Digital Image Processing and GIS | Quick Readable Notes For IGNOU Exam 
MGY 011 Geo-environmental Applications of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGYE 021 Emerging Application of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 013 Research Mathodology and Professional Skills in Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 014 Geoinformatics in Natural Resources and Environmental Studies | Quick Readable Notes For IGNOU Exam 
MGYE 041 Geoinformatics in Urban Development | Quick Readable Notes For IGNOU Exam 
MGYE 042 Planning Geoinformatics in Disaster Studies Geoinformatics in Coastal | Quick Readable Notes For IGNOU Exam 
MGYE 043 Geoinformatics in Coastal Marine Studies | Quick Readable Notes For IGNOU Exam MGYE 022 Advanced Programming in Geoinformatics |...
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Geoinformatics) (MSCGI) |
| Products Code | : MSCGI-MGY-S4-5.53 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 100-130 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MGYE 022 Advanced Programming in Geoinformatics focuses on developing advanced programming skills tailored for geospatial applications. Topics include Python programming for geospatial analysis (using libraries like GDAL, GeoPandas), web GIS development using frameworks like Leaflet and Django, API integration for accessing geospatial data (e.g., OpenStreetMap, Google Maps API), and advanced data visualization techniques.
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