Hot answers tagged

3

Quantitative vs. qualitative is a characteristic of the data. A heatmap is always a visualization of quantitative data (a count of events or entities). Your friend's objection that this visualization is "qualitative" is perhaps motivated by his recognition that the underlying data are inconsistently sampled, and that therefore the "data quality" is poor, and ...


3

So because neither a list nor any recommendations seem to exist, here is my (one-point item at this moment) gps device recommendations list representing the empirical research effort of last weekend. The device mentioned in my comment above works absolutely well and straightforward: 1) Windows 10 recognizes and installs the device automatically. No driver ...


2

Jochen, I am very glad you found a device that worked for you! I have had great success in using a Garmin GLO, it is a Bluetooth unit that is single frequency GPS/GLONASS. The unit that I use has a 10 HZ update rate, which produces very smooth lines, and great detail through curves. Accuracy when comparing positions to points placed with Survey Grade RTK ...


2

To answer your question strictly as asked, this behavior is due to the fact that most consumer GPS receivers and the NMEA protocol evolved from navigation applications. In navigation hardware there is almost always an accuracy threshold that must be satisfied before a position is reported. This is to prevent users of the position, both human and computer, ...


2

I had to solve this issue for a client running QGIS on Windows tablets 8-10. The best solution I found so far is GpsGate Splitter Express. If you install it with the plugin, it makes it possible to read the GPS data from the location provider and send it to a virtual COM port. The program runs at startup, so UEFI secure boot has to be disabled for this to ...


2

Interesting question. It all depends on what you are measuring as a "use of space". It seems that the time the device is asleep is actually the most consistent and constant use of a single space, if you include sedentary states as a use of space. But it sounds like the device won't measure that. But if you discount sedentary states and define that as not ...


1

I do some filtering of bad data within the transportation industry so I can try and give you some advice from an automated perspective. Assuming you have a time value for each point, you can filter a point where it travels a large distance in a short amount of time. The source of your data would determine what would be considered an unreasonable value ...


1

If you want to use TrackMatching, you hav e to convert your input files to one of their supported formats https://mapmatching.3scale.net/fileformats The custom CSV/Text format has the following structure: Waypoint ID, longitude, latitude, timestamp example: 44017039,5.38949431,52.187434426,"2013-03-18T07:22:38" ...


1

You'll want to do a Spatial Join from the Overlay toolbox in the Analysis Tools toolbox in ArcToolbox. For the match option select CLOSEST —The feature in the join features that is closest to a target feature is matched. This assumes your landuse layer with points of interest is a feature layer, not a raster layer.


1

A little more research (google for 'qgis python access gps') brougth the solution, once more as simple as obvious, and with no additional python modules to be installed. I found this: http://imasdemase.com/programacion-2/get-gps-info-qgis-python-console/ My spanish is not the best (if any), but i understand the code mentioned which works fine: ...


1

It's unlikely that the times are being rounded. By their nature GPS receivers have an extremely precise notion of time and almost always align their observations to the measurement edge of the GPS second. For example, see section 6.2 of the u-blox receiver protocol manual, which indicates the observations are constrained to be within 1 ms of the requested ...



Only top voted, non community-wiki answers of a minimum length are eligible