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    GIS and Remote Sensing for Epidemiology and Public Health Course

    indepthresearchservice
    By indepthresearchservice,
    Event: GIS and Remote Sensing for Epidemiology and Public Health Course Venue: Indepth Research Services, Nairobi, Kenya. Event Date: 11th – 15th June 2018.                  NITA CERTIFIED RECENT CLIENTS INTRODUCTION Epidemiology seeks to determine associations between exposure risk and disease that are spatially dependent. Public health focuses on the health of populations rather than of individuals and focuses more on prevention of health problems. These efforts

    Wind Plot

    verydiscreet
    By verydiscreet,
    Need some help in creating the wind plots as seen in the attached image. I have the data; don't know the algorithm. Wind Plot

    Free Cloud Server for WebGIS

    aryarakesh_16
    By aryarakesh_16,
    Please Guide for Opensource Cloud Server for WebGIS.......

    How can I calculate "Weighted Absorption Centre(WAC)" at pixel level from multi-spectral image using ENVI/ ERDAS/ QGIS etc.?

    alemran042
    By alemran042,
    Hello, Can anyone tell me how can I calculate "Weighted Absorption Centre (WAC)'' at the pixel level in multi-spectral data using ENVI/ERDAS/QGIS/E-cognition?

    GLobal mapper, microdem image size proportions in pixels not same as length, width ratio

    John30
    By John30,
    Hi! I am downloading some data from https://earthexplorer.usgs.gov/. I am using that data to create DEM map, grayscale maps for use in games, 3d programs for landscape design. The problem is: I crop area in GlobalMapper - Edit - export (geoTiff) -export elevation grid - export bounds- draw box - i use shift so x,y axis are same sized,.. then I save that image. If I open the image in Photoshop, x,y axis have same pixel size, seem same length, or width. On the other hand If I o

Portal by DevFuse · Based on IP.Board Portal by IPS
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    • Are you ready to level up your geospatial skills?  Join our comprehensive training course covering ArcMap, ArcGIS Pro, and ArcOnline—the essential tools for modern spatial analysis and programming!   What You’ll Learn: Core functionalities of ArcMap & ArcGIS Pro Cloud-based mapping with ArcGIS Online Automating workflows with Python & ModelBuilder Creating interactive web maps & apps   Who Should Enroll? GIS beginners & professionals Urban planners, environmental scientists, & data analysts Developers looking to integrate spatial programming   Why Choose This Course? Hands-on projects & real-world applications Expert-led sessions & flexible learning  Limited slots available! Click here to register. Let’s shape the future of spatial data together!
    • GPS is an incredible piece of modern technology. Not only does it allow for locating objects precisely anywhere on the planet, but it also enables the turn-by-turn directions we take for granted these days — all without needing anything more than a radio receiver and some software to decode the signals constantly being sent down from space. [Chris] took that last bit bit as somewhat of a challenge and set off to write a software-defined GPS receiver from the ground up. As GPS started as a military technology, the level of precision needed for things like turn-by-turn navigation wasn’t always available to civilians. The “coarse” positioning is only capable of accuracy within a few hundred meters, so this legacy capability is the first thing that [Chris] tackles here. It is pretty fast, though, with the system able to resolve a location in 24 seconds from cold start and then displaying its information in a browser window. Everything in this build is done in Python as well, meaning that it’s a great starting point for investigating how GPS works and for building other projects from there. The other thing that makes this project accessible is that the only other hardware needed besides a computer that runs Python is an RTL-SDR dongle. These inexpensive TV dongles ushered in a software-defined radio revolution about a decade ago when it was found that they could receive a wide array of radio signals beyond just TV. source: Hackaday and  GitHub - chrisdoble/gps-receiver
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