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Greetings...
By bubbs,
Hi,
Found this forum while failing to find an answer to an issue I have with GIS. I'm very new to this so it's probably a rookie question. I created an MXD with multiple features which I annotated with callout labels. Is there a way of saving these labels as a layer file / shape file to be opened in another work area?
The labelling system within GIS seems to only display one attribute at a time from an attribute table, but I need it to display more, which is why I opted for the callout
Splitting a line shapefile into segments of equal length in python
By fahadjahangir,
I want to split a line shapefile into segments of equal length, let say into length of x meters each. Is there a way to do that in python without using QGIS?
MEMS and wireless options: User localization in cellular phones
By Lurker,
Navigation has been revolutionized by micro-electro-mechanical systems (MEMS) sensor development, offering new capabilities for wireless positioning technologies and their integration into modern smartphones.
These new technologies range from simple IrDA using infrared light for short-range, point-to-point communications, to wireless personal area network (WPAN) for short range, point-to multi-point communications, such as Bluetooth and ZigBee, to mid-range, multi-hop wireless local area ne
Waze joins Google Maps on Android Auto
By Lurker,
Google Maps has become the de facto way to get from point A to point B. But for commuters and Uber/Lyft drivers, Waze -- with Google's transit information overlaid and crowdsourced data -- has become invaluable. The only problem is that while Google Maps is part of Android Auto, Waze still requires you to stick your phone to your dash/windshield. That is, until now.
Waze is finally where it should have been years ago: part of Android Auto. An update to Android brings the road warrior's favo
Image Mosaic and Topographic Map of Moon
By Lurker,
Map Descriptions
Sheet 1: This image mosaic is based on data from the Lunar Reconnaissance Orbiter Wide Angle Camera (WAC; Robinson and others, 2010), an instrument on the National Aeronautics and Space Administration (NASA) Lunar Reconnaissance Orbiter (LRO) spacecraft (Tooley and others, 2010). The equatorial WAC images were orthorectified onto the Global Lunar Digital Terrain Mosaic (GLD100, WAC-derived 100 m/pixel digital elevation model; Scholten and others, 2012) while the polar image
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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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