I am trying to use Azure Maps API. It will be nice to have route information which should include the locations of course and a speed profile. As you can understand speed profile is not an east one. Free flow speed profile is ok. But we want to simulate real-world conditions meaning that we want to select date and time of departure to get accurate speed information as close to as possible to a real world traffic influence.
Is there any feature that Azure provide this? If not, which API can provide this
I don't have any code at this moment to show since ı don't know which API to use.
Historical traffic data is not currently available in Azure Maps but is being investigated as a potential future feature.
Related
I would like to know if there is an API that gives freely the flight paths of all aircraft currently flying or that had flight some days ago over the world. It could be in any projection and any format. I imagine that it would be most likely a table with each row being an aircraft/flight and the correspondent geopath in one column.
Thanks.
I was looking around for the same topic.
The terms and conditions for getting data from Flightradar24 are shown there
https://www.flightradar24.com/terms-and-conditions
... they talk only about getting data after a business contract on the kind of data (e.g. flights with a specific filtering) and on the format (JSON, CSV, ?). With the contract one may download the data, maybe via an API.
My conclusion: Flightradar24 does not share its full set of data, only a limited set with payment.
Searching for "Flightradar24 API" you will find some sites offering Flightradar24 data via their own API primarily requiring payment, a few for free at a very low level.
You will also find some software projects for accessing and processing data from the Flightradar24 sites with a focus on Python. But these software packages build on tracking the access of the Flightradar24 site from a mobile app or the desktop browser. Result: a few accesses of an endpoint may work then comes the stop sign: Flightradar requires an authenticated access.
I know, we have dedicated API documentation for Shipping and different services.
But there is no endpoint to get all UPS Shipments at once using API.
Can anyone provide me the endpoint with example?
Thank you in advance.
I had the same question and after a long email thread with UPS Support they confirmed there is no way to grab historical shipment information.
The only option they gave is maybe using QVM which also has it's limitations.
That would be correct, Quantum View Manage and Quantum View Data would be your best available option to view the outbound information. You can have it build a report with address, name and tracking number. Contact your local UPS Account Representative for in depth details if you would like to explore that option. There is a Quantum View API however it would first need to be setup via your local Rep with the website. You are still manually searching the docs however for the information at hand when reviewing the reports. It will not pull it up or give a simple error if what you are looking for is not found. They just pull information all or nothing.
I want to visualization latitude and longitude data taken from IoT Devices.
But I couldn't find service is able to plot GPS log data.
For example, AT&T M2X can visualization and log data that just sensor data (like humidity, temperature, and so on) but it can't visualize map from data.
At last found Azure Maps, but it needs to register the credit card.
If needed to pay for the amount of user data, but I want to start map visualization with no pay option setting first.
I desire service keeps below three points, 1. no need pay option setting first, 2. it can post data from HTTP protocol(GET/POST), 3. any kinds of map type is ok (google map, BingMap, OpenStreetMap, and so on)
I'm sorry that my English is so bad.
I look forward to your reply.
thanks.
Might want to take a look at Data Studio (Google Cloud Platform). To get you started (no money) you should be able to create a spreadsheet with comma separated lat/long values, import it into Data Studio and get a visualization on a map of those positions.
Check it out here.
I know you said being able to post via HTTP is a requirement (makes it harder to use this, but wanted to point it out as it's cool and I just learned about it too.
There's also the Maps API which can do it (I'm actually unsure of how "free" it is, but most of our APIs have free tiers for like, # of requests). This is do-able via HTTP.
Azure Maps is a part of Azure and the credit card is for Azure all up, not just Azure Maps. That said, Azure Maps also provides free monthly usage limits. Also, in Azure you can set a spending limit on your account. After adding your credit card, simply set your limit to 0 and you don't need to worry about paying. If you exceed the free limits, your account will simply stop working until the next month when you get a new set of free limits. Here is some documentation on how to set a spending limit in Azure: https://learn.microsoft.com/en-us/azure/billing/billing-spending-limit
I'm trying to find a way to get historical speed data for a certain road in the UK to calculate its average speed per time of day AND the maximum speed driven by a any driver on the road between a period time. Any pointers how to do this from Waze? Thanks
I'm afraid Waze doesn't expose that data (understandably, as it is their core business). This excerpt from the help page should say enough:
Please note: Waze does not share any historical data with partners.
If you work for a local government or organisation, you could consider joining the Connected Citizens Program. As a partner you are able to get a data feed for a certain route and you're allowed to store that data to get historical data (as detailed on the Waze Partners Help site).
While I'm not certain about the legal status of doing this without being a partner, you could probably also start building your own historical dataset based on what Waze provides as average speed on a segment by periodically looking up the data returned when you plan a route on the Waze Live Map.
Routing requests are sent to https://www.waze.com/row-RoutingManager/routingRequest?... (see the network console of your browser for more details), but this requires some additional work managing CSRF and session cookies and providing the proper referral header. While not impossible, it's not too easy to pull off.
The response of such a routing request contains the instructions you see on the live map, but also includes things like the length of each specific segment on the route (distance), its average speed without realtime data (crossTimeWithoutRealTime) and its average speed with realtime data (crossTime). It's also possible to request the average speed for a certain time in the day, but this tends to be somewhat unreliable data.
The maximum speed is something you won't be able to find in Waze's data though, I'm afraid. I'm not even certain Waze stores that information as those statistical outliers generally aren't that interesting for navigational instructions. You could try to contact Waze for more information if you're doing a scientific study, but don't get your hopes up too much in that case as they have a small team that is constantly overwhelmed by the amount of questions they receive.
Long time ago, I took and passed the Google Analytics IQ certification test. At the time, I don't believe there were such things as Core Reporting API, Management API, and Metadata API (and probably some other Google Analytics related API's that I don't know about). Now that I am going through the Google Analytics IQ certification training course again (provided by Google, presented by Justin Curtoni?? I believe that's his name), I found that they now have Core Reporting API, Management API, and Metadata API.
I am a computer programmer by trade; so, I have no problem with programming using these API's. However, what I don't understand is, what do these API's buy me that the Google Analytics UI cannot offer? There is no reason to write a program that utilizes these API's simply because I can do it. To me, the existing Google Analytics UI has a lot of tools, reports, and other features that quite extensive. I am hoping that some of you can help me see something that I am probably missing.
The APIs are primarily for programmatic access. For example, if you need to create 1000 accounts all with the same property/view structure and then maybe add a few view filters to each of those accounts, you'll probably want to use the Management API. Doing that by hand would be a nightmare.
The same thing is true for the reporting API. Maybe you want to set up task that runs every monday morning and reports on the previous weeks data. And maybe you want to display that data on an internal dashboard for your company using some fancy charting library. You'd have to use the API to get the data.
Dashboards (executive summaries; managers often want nice visualizations instead of boring drill-downs)
Custom reports for user groups that do not have a Google Account or are not supposed to have access to full reports (e.g. Affiliates)
advanced filtering and aggregation (GA report cannot do everything)
You can combine analytics data with external data (e.g. you are not allowed to store personally identifiable information within GA; but you might store a custom key that allows you to link analytics data to customer data from you CRM or fulfillment system)
Machine-to-machine communication; I once did tracking for an airline that needed trend data on what people where searching for and what they where actually booking; that data was used to allocate/withdraw resources from busy/lame flights, and part of this was done by hooking up GA to their backend system
Take a look at the GA Partner Page. I would say the primary reason is to "liberate" GA Data from outside of GA itself. As Eike mentions, you can create dashboards and combine this data with other sources for a complete "View" of your online presence.
HI I guess there is no definite answer. Here are some things you can do with the APIs:
Automating AdWords CRO based on keyword ad and campaign performance.
Scoring leads based on Analytics data (Engagement with different items) and external data from a CRM.
Collecting unsampled data using multiple daily queries
Filtering using several dimension.
Tracking conversions for periods longer than supported by AdWords.
Looking at a funnel via segments
Analyzing funnels with non-linear structures
Create more robust alerts
Export data to BigQuery and analyse it together with data from other systems.
Create Machine learning apps for behavioural customizing your site.
Create a dashboard with data from multiple views
Use product recommendation to implements "better together" in an online store.
Automate creation of accounts and properties + their integration in a Hosting provider's console.
Cheers!!