Canadian Province Shapefile - service

Looking for a shapefile for Canadian provinces (North america would be acceptable too) for a Msft Reporting Services 2008 report. Anyone know a decent site where I can get my hands on these?

I've been looking for Canadian geography to report on as well. It's not a small job. Anyhow, I was able to get a base map for Canada from StatsCan. They have lots of very cool data products that are handy in this area too.
Here's the link:
Free Census Subdivision Boundary Files
http://www12.statcan.gc.ca/census-recensement/2006/geo/bound-limit-eng.cfm

I use the "GeoBase Geopolitical boundaries - Level 1" that I got somewhere off of the Natural Resources Canada web site some years ago.

Related

Finding USA's roads key attributes for OpenStreetMap

I understand that most of the data in OSM for USA is coming from TIGER. It seems that this doesn't have complete road key attributes such as speed limit, maximum weight, allowed / restricted turns, lane change etc.
I found that some state level DOT do have public datasets available for the roads within their jurisdiction, however some states don't have that. I wonder if the OSM community knows if the data already available at these state DOT's was loaded in the OSM?
Please also let me know if there was a netter place to ask this question?
Many thanks,
It is stated in the OSM webpage as well as in other GIS blogs that OSM doesn't have much data on key attributes of roads ie truck restrictions, however some DOT do have data on that.
In OSM pages it wasn't clear if that data was loaded.
There's been an awful lot of discussion about data imports, especially within the USA, over the years. I suspect that if data is available and hasn't been imported into OSM it's for one of two reasons:
the quality isn't very good
the licence isn't compatible
The relevant OSM wiki page that explains what would someone suggesting a new import need to do is here. With regard to the "community buy-in" step, I'd suggest contacting the OSM USA community in the first instance via the forum, mailing list or OSM US' slack workspace.

State/Province World Data

Currently I am trying to develop a multi-layered Leaflet map using GeoJSON (for country, states/provinces) and CSV (for city data). I want it to go down all the way to city level and that requires layers of Country, State/Province, and City data. I have all the Country data I need in the format I require (GeoJSON) and I have a decent source for City data in a CSV format.
However, I only have USA, Canada, Brazil, and Australian states/provinces and I have been looking around but haven't been able to find a reliable source such as NaturalEarth (which is where I initially got my states/province data from).
Does anyone have a resource they could point me towards? Even if it is multiple, hopefully I can merge them together in mapshaper/other open source applications. I've been looking for the past month but I am new to geographic visualization so I don't know the good spots to look yet.
Thank you so much for any help
You can try BBBike exports of OpenStreetMap data. Probably you will have to export bit by bit as there is a size limit to what you can export.
I recommend you also OpenStreet map. Osm also uses NaturalEarth for higher layers.
But I would download their database (for test, just download a small country, then you can download continents at a time).
Then I would select the features I'm interested. In your case the boundaries (region, districts, cities/municipalities), and city/hamlets names. Then you should look at the tools they have (and what you need). My simple and stupid way would be just to import such features in a GIS database, and then use it to get data. But you may find shortcuts and use directly the data without importing in a database.
Check OSM wiki, Downloading data and Planet.osm page, and other linked pages about tools. You may need to look the Feature page to known what features you want (just to discard most of the data).
If you want to use the tiles (pre-rendered images), you may need to read the term of services. It may be easier to download all data and render in your server, or to buy a service which offer you tiles. (all in the wiki).

Extracting Specific Country from Continent Wide MapTiles

Apologies for noob question, but I am no coder and total noob with MapTiles. I have a software that uses .mbtiles for a TileServer. I want to get a map of Algeria, but the price for the whole Continent is not much more than the country itself, so figured I'd buy whole Africa tiles, in case I need more countries in future.
If I purchase the Africa's OpenMapTiles (.mbtiles) would I be able to extract a specific country of it? If so, how can I go about it?
Thanks a lot for your help!
I know you can specify specific countries when hosting tiles and like you saw when purchasing. I would believe this is also possible.

finance api for iphone commercial app use

I am planning to create a stock based app for iphone. It's going to be a paid app. So I wanted to know what options do I have for getting the data from API.
I have heard of Yahoo finance api, but think it is not free for commecrial use.
What does Apple use for their native app. Could you please provide me with other options.
Thank you.
Getting fast reliable tick data is going to be very expensive, especially if you want every tick. If you want any kind of order book depth, it's even more expensive.
You might want to investigate LMAX who offer a free API. I think they are the same company that do Betfair in the UK. I'm not sure what markets they offer, whether you can use it outside the UK, and whether the prices on show are actual exchange traded prices, or from their own user generated markets, but it might be of interest...
For historical data (historical stock quotes, historical financial statements, historical dividends, etc), you can use the APIs at http://www.mergent.com/servius
(EDIT: The API can deliver historical ratio information such as P/E ratios, but that feature is still undocumented - will be documented soon).
(EDIT: There's also http://www.zacksdata.com/zacks-data-api . By the way, as a disclosure, both APIs are managed by my company).

GT.M, any experience with it?

Looking for NOSQL engines I found about GT.M here:
http://www.slideshare.net/robtweed/gtm-a-tried-and-tested-schemaless-database
At first look good, with SQL ODBC support. But I wonder if exist real experience with this? Somebody have use it?
GT.M is a very flexible engine that allows for NoSQL operations, but also is fast in cacheing disk to memory, as well as extensive enterprise level support.
I suggest you read the discussion by Rob Tweed at http://www.mgateway.com/docs/universalNoSQL.pdf
which would probably help you understand capability without jargon.
Don't have experience with it myself, but there is a list of some users of this database here: http://fisglobal.com/Products/TechnologyPlatforms/GTM/index.htm
From GT.M's Wikipedia page :
GT.M is used as the backend of their FIS Profile banking application, and it powers ING DIRECT banks in the United States, Canada, Spain, France, Italy and the UK. It is also used as an open source backend for the Electronic Health Record system WorldVistA and other open source EHRs such as Medsphere's OpenVista.
and
GT.M is predominantly used in healthcare and financial services industry. The first production use of GT.M was in 1986 at the Elvis Presley Memorial Trauma Center in Memphis, Tennessee.
From History of GT.M :
GT.M is licensed for use at over 1,000 institutions worldwide, ranging from small, community healthcare facilities and large teaching hospitals to some of the largest financial institutions in the world.
Also, from a recent presentation made by K.S. Bhaskar :
System of record for the two largest real time core banking systems in the world as we know of:
Production database sizes of a few TB
Serving around 10,000 concurrent online users + ATMs, voice response unit, web and mobile access
1000s of online banking transactions/seconds with full ACID properties.
Increasingly used in health care for for electronic health records
Operating database for at least one multi-sourced "big-data" project.