Tag Archives: Albuquerque Open Data

Bypass Cognos Forms

29 Jul

The City of Albuquerque has a Cognos report that allows you to see employee earnings. You can view the report on their transparency website or you can download a copy on the open data site. I do not want to go through a Cognos front page every time I need the data and I do not want to check when the last time they exported the xls or xml version to the open data site. I want to grab a fresh copy – I really want a service. Since they do not have one, we are stuck using Cognos every time to get the live data. Luckily, we can script it.

Cognos has several JavaScript functions cognosLaunch(), cognosLaunchWithTarget() and cognosLaunchInWindow(). These functions take different parameters and then call cognosLaunchArgArray(). Where do you get the JavaScipt library from? The City of Albuquerque – or anyone who has Cognos installed. The file is located at:


You can link to this file in your HTML


Now, you just need to know how to format the inputs properly. You can find all the information you need by running the report on the transparency site first. When the report finishes, view the source. You will see all the variables highlighted in the image below:

Cognos Report Source reveals all the parameters.

Cognos Report Source reveals all the parameters.

Now, format the function, passing the correct data. For cognosLaunch(), you will have the function below:

“/content/folder[@name=’Transparency’]/report[@name=’Transparency Report – Graded employees’]”,”ui.action”,”run”,”run.prompt”,

Put this in an HTML file in the <script> section and you will launch a window and download the CSV automatically. I have put a file on GitHub. There is another example which includes HTML and a JS file. The CABQ.js file formats the function for you. In this file, you could pass optional search parameters. I will leave that part up to you – I like grabbing all the data.

You can pas different outputFormats as well – CSV, HTML, PDF, singleXLS, XHTML, XLWA, and XML. Lastly, the City does not allow ajax calls from cross domain, so you may need to have the CORS extension installed in chrome. You can get it from chrome.google.com.

How would I use this in production? I think I would run a simple Python(cherrypy) or Go server that hosts the HTML and JS. Then I would write my application to call the site. I know where the download will go, so I could parse it when done. Then I could either return it to the server or do something with it on my machine.

Graph Database and Albuquerque Bus Stops: Neo4j with py2neo

15 Apr

I have been slightly obsessed with the question: “How do you define network service areas client-side on a map.” I know it needs a networked data set and something to do with the Djikstra algorithm (Yes, we could just use an ESRI REST service but there is not one available yet – I will ask the City). After looking at JavaScript implementations of NetworkX, I stumbled upon graph databases, most notably Neo4J.  A networked data set is a graph. Guess what, it has Djikstra built-in, so I must be on the right path. I installed it and added a fake social graph using py2neo. That allowed me to make sure I could do a few things:

  • Add a node
  • Add a relationship
  • add attributes

Now it was time to start with some real data.

My first test was to load Albuquerque Bus Stops for a single route. Here is what I have in my database.

Bus Stops for Route 766. No Relations added yet.

Bus Stops for Route 766. No Relations added yet.

The image above was generated by calling the City of Albuquerque REST Endpoint for bus stops, parsing the response, and putting it in to Neo4J. The image is a view from the DB Manager. The code to do this is below.

from py2neo import Graph
from py2neo import Node, Relationship
from py2neo import authenticate
import urllib2
import json




for x in reply[“features”]:

Notice there are no Relationships! This is crucial if we will ever walk the network. I have manually added on, seen in the image below.

San Mateo links to Louisianna.

San Mateo links to Louisianna.

The code for this is:



I need to think about how to automate the relationship creation based on stop order and direction (there are stops on both sides of the street). Then, I will need to figure out how to make a node have relationships to other routes. For example, many stops are connected to the 777 route and I do not want a separate node for each. I want one with a property showing routes.

Well, a start to say the least. It has been fun learning about graph databases and if GIS doesn’t interest you, you could map your social network and walk it.

Open Data Disclaimers and Terms of Service

7 Apr

I saw a tweet by @waldojaquith that commented on the State of NY Open Data Portals TOS. The TOS states that you cannot access the page

“…by using an automated device, script, bot, spider, crawler or scraper”

I can guess their intent is to prevent people from hitting the site with bots and overloading the server. But a device and script? This seems at best, too broad, at worst, ignorance as to how people will want to use the data. Furthermore, will I be prosecuted from doing so or will my IP address be blocked? Is this even enforceable? Can a government block a private citizen from a civic website?

This tweet made me curious about the city I live in – Albuquerque. I was dumbfounded by the content of their disclaimer/TOS. It read

“The City may require a user of this data to terminate any and all display, distribution or other use of any or all of the data provided at this website for any reason…”

Really? The City can call me and tell me to remove the bar chart of car thefts by month from my website because it is based on their data? Or, that I can no longer send the PublicArt.kmz file to someone?

I love Albuquerque Open Data. I find it quite useful and very good. So when the page says that

“The City makes no warranty, representation, or guaranty as to the content, accuracy, timeliness, or completeness of any of the data provided at this website.”

it makes me question the quality of the data. I get it, the data might be wrong, don’t hold it as gospel. Seems to be common sense to me. But this statement creates a distrust in the data. Is it authoritative? After reading the TOS, I would not take it to be.

If I were a gambling man, I would bet this is the work of the Legal Department. The same people that probably have email signatures saying if they send you confidential information by mistake you are in trouble for not deleting it. Yeah, I don’t think so Matlock. Saying it doesn’t make it true.

Government is made up of many departments. Those departments create a bunch of data. That data finds its way to an open data website probably run by the IT Department. The IT department just puts it out there and doesn’t really know anything about the data. They don’t make it so why would they stand by it? They point you to the department that made it. But that department probably didn’t care to release it in the first place and don’t want to be bothered exporting it or updating it. Or worse yet, fielding calls from citizens about it. But if someone is going to put out some data, there needs to be a level of trust or quality in the data.

Is it better to put out some data of quality by choice than to be legally obligated to provide it as the result of a FOIA request? I would imagine open data cuts down on a lot of those requests, saving a lot of time in money.

Once you put it out, please don’t think you have any control over what I do with it or who I send it to.

I do not know the answer so I am putting the question out there, and I did so on Twitter as well:

Has a City ever been sued for the quality of their open data?


Historic Bus Location Data

27 Mar

Last night I was trying to think of interesting uses for a Rasberry Pi. One thing I came up with was a data logger. But what to log? Then I thought about a previous post on the Albuquerque Realtime Bus Data. Hmmm. What if I wanted to show the bus locations using a time slider. What if I want to see if they ever deviated from their routes, or if they deviated from their schedules? I can’t really do any analysis without the historic data, and the City does not give that out currently. So I think I find a use – logging Albuquerque Bus Data.

I don’t have a Rasberry Pi, yet, so I wrote a python script on my desktop to test the logger.

I am not going to post the code because I don’t know the impact on the Albuquerque server. I will give a brief explanation. The City has KML files for each bus route. Each route has multiple buses. I grabbed a single route – 766, and parsed the results. I initially sent the results to a csv – as you can see in the data below this post. Writing to CSV is not too helpful when the data gets large (I am not going to say BIG). Once I knew it worked, I sent the data to a MongoDB that was spatially indexed. In the database, I can now:

Get the total records


Get all the Records

                        for x in collection.find():
                                      print x

Get a specific bus number

                       for x in collection.find({‘number’:’6903′}):
                                           print x

Or find near a lat,lng

                       for x in collection.find({“loc”:{“$near”:[35.10341,-106.56711]}}).limit(3):

With a database, multiple people can query it and perform operations on it. Lastly, if the data gets larger, Mongo can be split (sharding) across multiple machines to hold it all.

My MongoDB records look like:

{u’loc’: [35.08156, -106.6287], u’nextstop’: u’Central @ Cornell scheduled at 3:45 PM’, u’number’: u’6903′, u’time’: u’3:46:52 PM’,
u’_id’: ObjectId(‘5515cfd814cd2829e4c1b718′), u’speed’: u’20.5 MPH’}

Here is the results of my original run. I ran the script for 7 minutes and got the following results for Route 766.


Hard to see, but displays bus locations along route 766 over a 7 minute period.


6409,0.0 MPH,1:34:02 PM,Central @ San Mateo (Rapid) scheduled at 1:31 PM,-106.58642,35.07778
6904,1.9 MPH,1:34:03 PM,Central @ Edith scheduled at 1:31 PM,-106.64776,35.08401
6411,0.0 MPH,1:33:56 PM,CUTC Bay B scheduled at 1:39 PM,-106.72266,35.07726
6407,21.7 MPH,1:34:00 PM,Central @ 1st (across from A.T.C.) scheduled at 1:34 PM,-106.64317,35.08359
6410,35.4 MPH,1:33:53 PM,Central @ San Mateo (Rapid) scheduled at 1:36 PM,-106.58247,35.07749
6403,0.0 MPH,1:34:02 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.57089,35.10305
6903,29.8 MPH,1:33:56 PM,Central @ Atrisco scheduled at 1:36 PM,-106.69049,35.08443
6409,0.0 MPH,1:35:14 PM,Louisiana @ Central (Rapid) scheduled at 1:36 PM,-106.5852,35.07764
6904,1.9 MPH,1:35:14 PM,Central @ Edith scheduled at 1:31 PM,-106.6478,35.08413
6411,0.0 MPH,1:35:07 PM,Next stop is CUTC Bay B scheduled at 1:44 PM,-106.72525,35.07886
6407,0.0 MPH,1:35:11 PM,Copper @ 2nd scheduled at 1:34 PM,-106.64784,35.08417
6410,19.3 MPH,1:35:17 PM,Central @ Carlisle (Rapid) scheduled at 1:40 PM,-106.58734,35.07802
6403,0.0 MPH,1:35:14 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.57087,35.10306
6903,14.9 MPH,1:35:08 PM,Central @ Tingley (Rapid) scheduled at 1:38 PM,-106.68485,35.08576
6409,23.6 MPH,1:36:38 PM,Louisiana @ Central (Rapid) scheduled at 1:36 PM,-106.58084,35.07723
6904,18.0 MPH,1:35:53 PM,Central @ Edith scheduled at 1:31 PM,-106.647,35.08373
6411,0.0 MPH,1:36:31 PM,Next stop is CUTC Bay B scheduled at 1:44 PM,-106.72525,35.07885
6407,0.6 MPH,1:36:35 PM,Copper @ 5th scheduled at 1:35 PM,-106.64944,35.08541
6410,0.0 MPH,1:36:40 PM,Central @ Carlisle (Rapid) scheduled at 1:40 PM,-106.59512,35.07883
6403,0.0 MPH,1:36:42 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.57086,35.10306
6903,31.7 MPH,1:36:33 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.67824,35.09252
6409,37.9 MPH,1:37:49 PM,Louisiana @ Central (Rapid) scheduled at 1:36 PM,-106.57203,35.07627
6904,0.6 MPH,1:37:55 PM,Central @ Cedar (Rapid) scheduled at 1:33 PM,-106.63771,35.08276
6411,0.0 MPH,1:37:55 PM,Central @ Coors scheduled at 1:47 PM,-106.72526,35.07885
6407,1.9 MPH,1:37:47 PM,Copper @ 5th scheduled at 1:35 PM,-106.6496,35.08487
6410,0.0 MPH,1:37:52 PM,Central @ Yale (UNM) scheduled at 1:44 PM,-106.60369,35.07979
6403,0.0 MPH,1:37:57 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.57087,35.10306
6903,0.0 MPH,1:37:56 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.67159,35.09515
6409,0.0 MPH,1:39:14 PM,Louisiana @ Central (Rapid) scheduled at 1:36 PM,-106.56872,35.07595
6904,18.0 MPH,1:38:19 PM,Central @ Cedar (Rapid) scheduled at 1:33 PM,-106.63713,35.08265
6411,0.0 MPH,1:39:19 PM,Central @ Coors scheduled at 1:47 PM,-106.72527,35.07884
6407,3.1 MPH,1:39:10 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.65295,35.086
6410,31.1 MPH,1:39:16 PM,Central @ Yale (UNM) scheduled at 1:44 PM,-106.61167,35.08084
6403,5.6 MPH,1:39:23 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.5707,35.10368
6903,23.0 MPH,1:39:20 PM,Gold @ 5th (Rapid) scheduled at 1:44 PM,-106.67011,35.09438
6409,26.1 MPH,1:40:37 PM,Louisiana @ Lomas scheduled at 1:38 PM,-106.56848,35.07723
6904,24.9 MPH,1:40:10 PM,Central @ Cedar (Rapid) scheduled at 1:33 PM,-106.63585,35.08255
6411,0.0 MPH,1:40:31 PM,Central @ Coors scheduled at 1:47 PM,-106.72526,35.07884
6407,23.0 MPH,1:40:36 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.65675,35.0863
6410,34.2 MPH,1:40:40 PM,Central @ Yale (UNM) scheduled at 1:44 PM,-106.61567,35.0811
6403,0.0 MPH,1:40:42 PM,Indian School @ Louisiana scheduled at 1:40 PM,-106.56875,35.10221
6903,23.6 MPH,1:40:32 PM,Gold @ 5th (Rapid) scheduled at 1:44 PM,-106.66327,35.08892
6409,0.6 MPH,1:41:49 PM,Indian School @ Uptown Loop Road scheduled at 1:42 PM,-106.56849,35.08691
6904,24.9 MPH,1:41:55 PM,Central @ Cedar (Rapid) scheduled at 1:33 PM,-106.63585,35.08255
6411,0.0 MPH,1:41:55 PM,Central @ Coors scheduled at 1:47 PM,-106.72526,35.07884
6407,0.0 MPH,1:41:58 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.65822,35.08648
6410,28.6 MPH,1:41:52 PM,Central @ Yale (UNM) scheduled at 1:44 PM,-106.6216,35.08113
6403,0.0 MPH,1:42:01 PM,Louisiana @ Lomas scheduled at 1:45 PM,-106.56779,35.10184
6903,23.0 MPH,1:41:55 PM,Gold @ 5th (Rapid) scheduled at 1:44 PM,-106.65819,35.08629
6409,41.0 MPH,1:43:13 PM,Indian School @ Uptown Loop Road scheduled at 1:42 PM,-106.56863,35.09282
6904,24.9 MPH,1:42:15 PM,Central @ Cedar (Rapid) scheduled at 1:33 PM,-106.6217,35.08093
6411,0.0 MPH,1:43:19 PM,Central @ Coors scheduled at 1:47 PM,-106.72528,35.07883
6407,9.9 MPH,1:43:10 PM,Central @ Rio Grande (Rapid) scheduled at 1:40 PM,-106.661,35.08784
6410,34.2 MPH,1:43:16 PM,Central @ Mulberry (Rapid) scheduled at 1:47 PM,-106.62524,35.08125
6403,16.8 MPH,1:43:22 PM,Louisiana @ Lomas scheduled at 1:45 PM,-106.56635,35.10156
6903,19.3 MPH,1:43:19 PM,Gold @ 5th (Rapid) scheduled at 1:44 PM,-106.6549,35.084

Albuquerque Open Data

18 Mar

I have put together several posts on Albuquerque Open Data and have felt bad that the examples were not live. I shutdown my old website and tried to use JsBin for a few examples, but I was not consistent and couldn’t upload third party JavaScript files. Well, I found a solution.

GitHub Pages to the Rescue

I have a GitHub repo. A GitHub Repo is a place to put code where you can harness the full power of git – branching, committing and others can pull and push code to your repo. GitHub also has a thing called GitHub Pages where you can host sites. I have one. And I am now using it to host my presentations. I do not own Albuquerque Open Data, but the community does. The City puts the data out there for us to use. As a community member, I decided to create a GitHub repo for Albuquerque Data and a GitHub page for it. You can download the code for all the examples, or run them. You can also grab a copy and modify thm. Lastly, you can add your own code examples to the repo.

The Examples

There are only a few examples thus far.

  • Aerial – Zoom to a location in ABQ. Double click to get back an aerial image of the map window.
  • Crime – Click the map to see incidents near you.
  • Density
  • Elevation – Draw a line with lots of segments to see an elevation profile.
  • Game – Click the map to add a marker. Drag the marker to a park to win.

The Code for the Examples

You can get the code for each example by clicking the link.

  1. Aerial
  2. Crime
  3. Density
  4. Elevation
  5. Game

You can also grab the whole Repo as a ZIP file.

Aerial Imagery of Albuquerque and Surrounding Counties

10 Mar

When you need an aerial image, do you go to Google and take a screenshot? If you live in Albuquerque or the surrounding area, you no longer need to do that. The City of Albuquerque publishes aerial imagery of Albuquerque and the surrounding areas as open data. In this post, I will show you how to retrieve an image.

The Service

The Imagery Service provides a list of all the available years.

The historic data is a great addition.

The historic data is a great addition.

For this tutorial, click on Imagery/Aerials2014. At the bottom of the page, choose Export Image. You will see the full extent of the imagery and a form below.


To get an image, you need to enter the lower left and upper right corner coordinates of a bounding box in NAD83(HARN) / New Mexico Central (ftUS). I have no clue what this would be. You can change it to WGS84 (4326) as we have done in previous examples, but still, how would I know the coordinates without clicking on a map and checking the points? The form is pretty much useless to me. Our application will provide a better GUI – map based – to the form.

The Application

Our application will be a Leaflet.js map that allows the user to zoom to their desired location. The map window will be used to select what is exported from the imagery service.

The Logic

The application is a basic Leaflet.js map. We will add an onClick function that grabs the image.




The getImage() function will make an AJAX call to the service. It will pass the coordinates of the map window as parameters to get back an image in a popup. You can then right click and save image as…

function getImage(){

var bounds=b._southWest.lng+”,”+b._southWest.lat+”,”+b._northEast.lng+”,”+b._northEast.lat;

var url = “http://coagisweb.cabq.gov/arcgis/rest/services/Imagery/Aerials2014/ImageServer/exportImage&#8221;;
var params=”f=json&bbox=”+bounds+“&bboxSR=4326&size=1028,1028&imageSR=4326”;

http=new XMLHttpRequest();
http.open(“POST”, url, true);
http.setRequestHeader(“Content-type”, “application/x-www-form-urlencoded”);
http.onreadystatechange = function() {//Call a function when the state changes.
if(http.readyState == 4 && http.status == 200) {

result= JSON.parse(http.responseText);




The above code starts by assigning the map bounds to a variable. We then create a bounds string in the format the service wants – lower left corner to top right corner. We pass the bounds string in to the parameters string and make the request.

The result contains an href property that is the URL to the image. We open a popup to the URL so the user can save the image.

Map on the left. Click. Image popup on the right.

Map on the left. Click. Image popup on the right.

Now the user can zoom to the desired extent and click the map to get back an image. Much easier than finding the coordinates and entering them in to the form.


Linq in JavaScript

4 Mar

If you are familiar with .NET, then you may know what Linq is: Language Integrated Query. It is a way to query databases or objects. If you have read my blog posts, you will notice that I like to iterate through JSON with if something equal something statements to filter and query my data. In this tutorial, I will show you how to use linq for JavaScript to make queries easier.

The Application

I am going to use Linq.js to process the results of a query to an ESRI REST endpoint.


Nothing much to see in the image above, just three points with their location type as a popup. It is the logic behind them that is useful. These three points were filtered out from a total of 844. I used the Albuquerque Public Art Data for this example.

The Logic

The map is a standard Leaflet.js map. I made a query to the Albuquerque Public Art endpoint using where set to 1=1. This gives back all the data. I know we can query here, but let’s assume that we are going to provide buttons for the user to filter data and we don’t want to keep querying the service. We grab once and can filter multiple times on any field.

The AJAX query is standard and returns our result.

var url=”http://coagisweb.cabq.gov/arcgis/rest/services/public/PublicArt/MapServer/0/query&#8221;;
var params = ‘where=1=1&f=json&outFields=*&outSR=4326’;
var http;
http=new XMLHttpRequest();
http.open(“POST”, url, true);
http.setRequestHeader(“Content-type”, “application/x-www-form-urlencoded”);
http.onreadystatechange = function() {//Call a function when the state changes.
if(http.readyState == 4 && http.status == 200) {

We can use linq.js after we convert the response to JSON.

var r = Enumerable.From(result.features)
.Where(function (x) { return x.attributes.OBJECTID > 202261 })
.OrderBy(function (x) { return x.attributes.LOCATION })
.Select(function (x) { return x.attributes.OBJECTID + ‘,’ + x.attributes.LOCATION +’,’+ x.geometry.x + ‘,’ + x.geometry.y })

The above code does several things.

First, we create the enumerable object from the JSON. When using ESRI JSON, you need to skip to the features or it will rarely parse. Next we select our where clause. The json has two properties that contain the rest (nested): attributes and geography. We take x from the function and then look for items with the attribute for OBJECTID greater then 202261. This gives me three results.

I then order the results by location – for no real reason other than to show it is possible. Then using select, I format the string that will be placed in the returned toArray(). The result is:

[“202263,Academy Hills Park,-106.52671900037603,35.149523000339606”, “202264,Alamosa Park,-106.70765700015008,35.07113600016852”, “202262,City/County Government Building,-106.65203299975377,35.088040999684026”]

Now I have a subset of my data. I can map it:


If you want to allow a user to play with some data, grab it all and use linq.js to filter, order and select subsets and only call the server once.