What I need:
I need to output a basic weather reports based on the current time and a fixed location (a county in the Republic of Ireland).
Output requirements:
Ideally plain text accompanied with a single graphical icon (e.g.
sun behind a cloud etc.).
Option to style output.
No adverts; no logos.
Free of charge.
Numeric Celsius temperature and short textual description.
I appreciate I'm that my expectations are high so interpret the list more as a "wish-list" rather than delusional demands.
What I've tried:
http://www.weather-forecast.com - The parameters for the iframe aren't configurable enough. Output is too bloated.
Google Weather API - I've played with PHP solutions to no avail though in any case, apparently the API is dead: http://thenextweb.com/google/2012/08/28/did-google-just-quietly-kill-private-weather-api/
My question:
Can anyone offer suggestions on how to embed a simple daily weather report based on a fixed location with minimal bloat?
Take a look at http://www.zazar.net/developers/jquery/zweatherfeed/
It's pretty configurable, although I'm not sure if there is still too much info for your needs. I've only tried it with US locations; all you need is a zipcode. The examples show using locations from other countries. I'm assuming it's a similar setup to get locations added for Ireland.
Related
I am building a package that uses the Google Analytics API for Python.
But, in severous cases when I have multiple dimensions the extraction by day is sampled.
I know that if I use sampling_level = LARGE will use a sample more accurate.
But, somebody knows if has a way to reduce a request that you can extract one day without sampling?
Grateful
setting sampling to LARGE is the only method we have to decide the amount of sampling but as you already know this doesn't prevent it.
The only way to reduce the chances of sampling is to request less data. A reduced number of dimensions and metrics as well as a shorter date range are the best ways to ensure that you dont get sampled data
This is probably not the answer you want to hear but, one way of getting unsampled data from Google analytics is to use unsampled reports. However this requires that you sign up for Google Marketing Platform. With these you can create an unsampled report request using the API or the UI.
There is also a way to export the data to Big Query. But you lose the analysis that Google provides and will have to do that yourself. This too requires that you sign up for Google Marketing Platform.
there are several tactics of building unsampled reports, most popular is splitting your report into shorter time ranges up to hours. Mark Edmondson did a great work on anti-sampling in his R package so you might find it useful. You may start with this blog post https://code.markedmondson.me/anti-sampling-google-analytics-api/
I'm looking for a source for old weather forecasts--yesterdays, last months, last years. For major cities in US.
Seems like it's easy to find future forecasts, and historical actual data, but not historical forecasts.
The product you're probably looking for is the National Digital Forecast Database, the gridded system the NWS uses to input most of its forecast. There's no API that I know of, but there are archived data files in places like here. This NWS page on degrib also offers some potential hints on what you may need.
The NWS does still also issue some specific point forecasts for certain locations, specialized forecasts for events like fires, plus forecast discussions, warning text, etc. If those are the types of things you are looking for, it may be a bit more of a slog to dig through and piece together find the product identifiers and archive resources you want. Iowa State offers a tool for accessing some of the past data, but only by office. You also may want to dig into some of the text products on their MTArchive site, particularly perhaps the Public files - the specific data is less organized, yet the simple layout may make it more straightforward to find what you need. This StormTrack thread may offer one final rabbit trail towards finding archives of NWS text products.
As mentioned in comments, you may also find there are additional users with useful input on the Earth Science Stack Exchange Beta community.
I am trying to create an app that will help users find restaurants/movie theaters/malls/etc. to hang out based on ratings and distance. Other than just the place itself, I would also like to know more detailed information about the place. For example, if I were to look for parks, I would also like to know if theres a basketball or tennis court there. Ratings and popularity would also be an important aspect to prioritize suggestions.
After looking through all three of the APIs, I could not really find any substantial differences other than their search limits. Could anyone really differentiate each API for me? Maybe even recommend one based on my specific need?
Thanks!
The Foursquare API would fit this use case perfectly because you can supply very specific filters through the API. Also, they have extensive coverage around the world, unlike Google or Yelp.
I would check out the venues/explore endpoint and use a categoryId of Parks. You can use a query parameter of "basketball" or "tennis" to find parks that have courts for these.
At present, when I go to Plus and look at photos taken through Glass, I see metadata like this:
Location Add a location
Date taken 6/7/13, 1:09 PM
Dimensions 2528 x 1856
File name 20130607_130926_201.jpg
File size 1.49M
Camera Glass 1
Focal Length 2.95mm
Exposure -
F Number f/2.48
ISO -
Camera make Google
Flash Not used
Exposure Bias -
Views -
I'd love to use the Glass' built-in GPS (or even my Android's GPS, if necessary) to add a location to the image.
My hack is to subscribe to the user's Locations and immediately query for latest location upon receipt of a photo. However, there are obvious accuracy limitations to this approach.
...is there a setting I'm missing somewhere that lets me enable this? (Asking for more metadata, like ISO and exposure, will probably come in another question or a more direct request to Google)
Thanks!
AKA
Location information is not included in the EXIF data on photos taken by Glass.
But there is one simplification that we can make to your current solution. The timelineItem also contains location information. You can use this instead of making an additional request to the locations collection.
This should contain location at the time the original timeline item is created (when the photo is taken), but there's a known issue which causes it to be stale. The data is no less accurate than what you're already fetching, though, so at least it will save you a request to the API.
I am very new to GIS development, and to be be frank I have no background about it at all. I searched the web but the tutorials I found seemed to assume the reader has some background information.
the thing is that I am confused about what to read or learn, there seems to be lots of technologies, and I feel lost since some speak about openlayers, geoserver, mapserver, google maps, and open street maps.
So here is what I am supposed to develop, and I hove you could give me an advice about which technology to use, and where should I start reading - given that I know almost nothing -.
Case 1: a closed system for about 20 users only, who can specify locations on the map, and the web application will store the latitude and longitude of the locations and show the markers. I wanted to use google maps api, but I cancelled that since there license requires you to purchase the service if the system is a closed one. so what technology should I use in such case? I need a free option, also I will be only using web server, so if the solution includes using my own geoserver, or something like that I won't be able to do it.
Case 2: I am supposed to display the roads and routes between two given points, and probably add some notes on the map. For this I case I can use my own map server/geo server, but again I want your suggestions.
of course the solution need to be open source
finally, I hope you could tell me what to start reading first,
Start by looking over at https://gis.stackexchange.com/, starting with the tags [web-mapping] and
Some topics in particluar you may want to look at are:
https://gis.stackexchange.com/questions/8113/steps-to-start-web-mapping
https://gis.stackexchange.com/questions/8238/where-how-to-learn-about-getting-started-with-web-gis
https://gis.stackexchange.com/questions/13868/looking-for-a-developer-friendly-web-gis
As for skills and tuorials, look at:
https://gis.stackexchange.com/questions/17227/free-gis-workshops-tutorials-and-applied-learning-material
https://gis.stackexchange.com/questions/913/web-gis-development-skill-sets