GIS Mistakes

The 10 Most Common GIS Mistakes People Make

By avoiding the 10 common GIS mistakes discussed in this article and embracing best practices and continuous learning, GIS users can harness the full power of GIS technology and drive positive change in their organizations and communities.
symbols in qgis

Custom Icons and Symbols in QGIS

Symbols in QGIS are an essential component of spatial data visualization. This allows users to represent data in a visually appealing way.

Climate change and GIS

What is climate change? According to the Intergovernmental Panel on Climate Change (IPCC), Climate Change refers to any...
GIS-for-gender-equality

GIS for Gender Equality: An Outlook

Gender equality is attained when women and men have equal access to rights and opportunities. Gender equality is...

Importing vector and raster data in the GEE

Vector and raster data formats are used in the analysis in the Google Earth Engine. Vector data can...
Geospatial-intelligence

Geospatial Intelligence in Disaster Risk Management

Community security, world security, and disaster hazards are all developing and becoming more diversified and complicated. Climate change, population...
GIS Graduates

Top GIS Universities in the world

The Master's in Geospatial Information Systems program is a cutting-edge degree that incorporates components of geography, geographic technology, and cross-disciplinary education in other languages and cultures. GIS universities offering Master's in Geospatial Information Science focus on advancing civilization and industry using sophisticated spatial data analytics and data science, drones, computer software, and GPS innovation

Nearest neighbor analysis in QGIS

GIS is very useful in analyzing the spatial relationships between features. It is important at times to find...

Adding layers from GeoServer in QGIS

In a GIS, the ability to handle more data formats is of key priority while developing the system....
Remote sensing

Remote Sensing Applications: Built-up Assessment

It is a no-brainer why a majority of remote sensing applications are focused on land surfaces. Built-up area assessment is a key factor

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