Tag Archives: cabq.gov

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”;
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”;
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.

Am I Near Public Art? How about Crime?

26 Feb

When you are new to a city, it is hard to walk around and carry a map of all the sites. Wouldn’t it be nice if your phone could alert you when you were near something of interest? In this post, I will show you how to create an alert system.

The Application

The application will build off of our earlier post using Albuquerque Crime Data. In that application, the user clicked the map and was presented with all crimes in the last 180 days within a half mile of the click.

This application will use the same logic but replace the click with the users location.

Building the Application

We will start with a Leaflet.js Mobile map. Place the following HTML in the head of your document.

<meta name=”viewport” content=”width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no” />

body {
padding: 0;
margin: 0;
html, body, #map {
height: 100%;

This will make the map look nice on mobile – and desktop as well. Then create the map.

var map = L.map(‘map’);


map.locate({setView: true, maxZoom: 16,enableHighAccuracy:true,watch:true});

With mobile maps, we do not pass the setView to the map, we add that parameter to the locate() function. Now we need two functions: one for found and one for not found.

map.on(‘locationfound’, gotcha);

function gotcha(e){ALL OUR CODE GOES HERE}

map.on(‘locationerror’, onLocationError);

function onLocationError(e) {

When our location is found, we want to setup the buffer and prep for calling the Albuquerque Data for Public Art or Incidents.

L.circle(e.latlng, 20).addTo(map);
buffered = turf.buffer(b,.05,”miles”);
var result = turf.featurecollection(buffered.features.concat(b));

We create a marker, convert it to GeoJSON to use with Turf.js, then buffer and get the rings to use in the query.

Now we can make our standard AJAX call to an ESRI REST Endpoint. I have commented out the URL for Public Art and the marker. You can uncomment them and comment out the incident url and marker to switch the application.

var params=”f=json&outSR=4326&outFields=*&geometryType=esriGeometryPolygon&spatialRel=esriSpatialRelIntersects&inSR=4326&geometry=”+g;

//var url = “http://coagisweb.cabq.gov/arcgis/rest/services/public/PublicArt/MapServer/0/query&#8221;;
var url = “http://coagisweb.cabq.gov/arcgis/rest/services/public/APD_Incidents/MapServer/0/query&#8221;;
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) {
var result= JSON.parse(http.responseText);


Now we get back all the incidents, or art, within 300 feet (.05 miles) of our location. We need to take the results and add them to the map and notify the user they are near something of interest.



As we move, the service is queried again, constantly watching us and letting us know when we are near something of interest. The vibration pattern is 100ms for each feature we are near and pause for 100ms between each feature. If we are near a lot of features -say crime incidents – our phone will vibrate many times. Possibly signaling a dangerous part of town. If we are using public art, we know we are near a particularly artistic part of the city and maybe we should explore more.

To use the same map for multiple features, you could switch up the vibration patterns, say short fast vibrations for art and longer for crime. Maybe vibrate once for crime but the duration is a function of the number of incidents – 10 incidents results in a 10 second vibration.

Just an idea on how to use open data to alert new comers to the features of the city that they may not be aware of.

Reverse Engineer City of Albuquerque Web Server Logs API

25 Feb

I recently stumbled across a Code For America experiment that shows live information from the City of Albuquerque Web Server. This is cool, but if you read this blog, you know I want the service! Give me that REST endpoint. I set out to reverse engineering their application and will show you two real-time endpoints with some different parameters.

The Application

The Code for America application is clearly hitting an endpoint. It’s just the way it has to work. So where is the endpoint? Well, a cursory glance at the code reveals two: realtime and historic. So hit the endpoint


and you get the following error:

{“error”:{“errors”:[{“domain”:”global”,”reason”:”required”,”message”:”Required parameter: ids”,”locationType”:”parameter”,”location”:”ids”}],”code”:400,”message”:”Required parameter: ids”}}

Interesting. we need a parameter ids. Hit the endpoint with the parameter.

{“error”:{“errors”:[{“domain”:”global”,”reason”:”invalidParameter”,”message”:”Invalid value ”. Values must match the following regular expression: ‘ga:[0-9]+'”,”locationType”:”parameter”,”location”:”ids”}],”code”:400,”message”:”Invalid value ”. Values must match the following regular expression: ‘ga:[0-9]+'”}}

Now I know the value of


The number is in the code, so I grabbed it. Reading the code, you can see the structure of the endpoint.

endpoint: function(){
return “/realtime?ids=ga:”+matrix.settings.profileId+”&metrics=rt:activeUsers&max-results=10”

So let’s give it a try.

“kind”: “analytics#realtimeData”,
“id”: “https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&metrics=rt:activeUsers&#8221;,
“query”: {
“ids”: “ga:48754”,
“metrics”: [
“max-results”: 1000
“totalResults”: 1,
“selfLink”: “https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&metrics=rt:activeUsers&#8221;,
“profileInfo”: {
“profileId”: “48754”,
“accountId”: “86004”,
“webPropertyId”: “UA-86004-1”,
“internalWebPropertyId”: “97739”,
“profileName”: “2. http://www.cabq.gov All Traffic”,
“tableId”: “realtime:48754”
“columnHeaders”: [
“name”: “rt:activeUsers”,
“columnType”: “METRIC”,
“dataType”: “INTEGER”
“totalsForAllResults”: {
“rt:activeUsers”: “172”
“rows”: [

There you have it: 172 active users. We can pass another parameter


Then we see:

{“kind”:”analytics#realtimeData”,”id”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&metrics=rt:pageviews&#8221;,”query”:{“ids”:”ga:48754″,”metrics”:[“rt:pageviews”],”max-results”:1000},”totalResults”:1,”selfLink”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&metrics=rt:pageviews&#8221;,”profileInfo”:{“profileId”:”48754″,”accountId”:”86004″,”webPropertyId”:”UA-86004-1″,”internalWebPropertyId”:”97739″,”profileName”:”2. http://www.cabq.gov All Traffic”,”tableId”:”realtime:48754″},”columnHeaders”:[{“name”:”rt:pageviews”,”columnType”:”METRIC”,”dataType”:”INTEGER”}],”totalsForAllResults”:{“rt:pageviews”:”2172″},“rows”:[[“2172”]]}

I formatted the first result nicely and will just post JSON blobs so as not to take up to much space. Now you see 2172 views. My guess is that this is within either today or some time time frame of today.

What are people looking at? Lets change our metrics to pageviews and get the pagetitle. We also pass the largest possible result value.


Right now, this is what we get.

{“kind”:”analytics#realtimeData”,”id”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&dimensions=rt:pageTitle&metrics=rt:pageviews&max-results=10000&#8243;,”query”:{“ids”:”ga:48754″,”dimensions”:”rt:pageTitle”,”metrics”:[“rt:pageviews”],”max-results”:10000},”totalResults”:454,”selfLink”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&dimensions=rt:pageTitle&metrics=rt:pageviews&max-results=10000&#8243;,”profileInfo”:{“profileId”:”48754″,”accountId”:”86004″,”webPropertyId”:”UA-86004-1″,”internalWebPropertyId”:”97739″,”profileName”:”2. http://www.cabq.gov All Traffic”,”tableId”:”realtime:48754″},”columnHeaders”:[{“name”:”rt:pageTitle”,”columnType”:”DIMENSION”,”dataType”:”STRING”},{“name”:”rt:pageviews”,”columnType”:”METRIC”,”dataType”:”INTEGER”}],”totalsForAllResults”:{“rt:pageviews”:”2127″},”rows”:[[“2015 Spring Green Waste Pick-up — City of Albuquerque”,”1″],[“4th Magic Treehouse: Dinosaurs after Dark — City of Albuquerque”,”1″],[“A Night in the 40’s: Big Band Swing — City of Albuquerque”,”1″],[“ABQ BioPark — City of Albuquerque”,”12″],[“ABQ RIDE Providing Free Transportation to Veterans with V.A. Hospital Cards — City of Albuquerque”,”5″],[“ABQ Recycles — City of Albuquerque”,”2″],[“ABQ View — City of Albuquerque”,”24″],[“ABQ Volunteers — City of Albuquerque”,”6″],[“ACH Services Information — City of Albuquerque”,”1″],[“About 311 — City of Albuquerque”,”1″],[“About Us — City of Albuquerque”,”2″],[“About the BioPark — City of Albuquerque”,”1″],[“About the Councilor — City of Albuquerque”,”1″],[“Activities & Education Programs — City of Albuquerque”,”1″],[“Activities Catalog — City of Albuquerque”,”1″],[“Address Atlas Pages — City of Albuquerque”,”2″],[“Address Query – Advanced Map Viewer — City of Albuquerque”,”5″],[“Address Report — City of Albuquerque”,”19″],[“Administration, Two AFSCME Unions Reach Agreement — City of Albuquerque”,”1″],[“Admission & Hours — City of Albuquerque”,”5″],[“Advanced Map Viewer User Guide — City of Albuquerque”,”1″],[“Advanced Map Viewer — City of Albuquerque”,”14″],[“Agendas from Greater Albuquerque Bicycling Advisory Committee Meetings — City of Albuquerque”,”1″],

Notice there were only 454 total results. Each record looks like

[“ABQ RIDE Providing Free Transportation to Veterans with V.A. Hospital Cards — City of Albuquerque”,”5″]

This is pageTitle comma PageViews as stated in the columnHeaders property below.


Where is the page with the title ABQ View – City of Albuquerque? Using pagePath we can find out.

{“kind”:”analytics#realtimeData”,”id”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&dimensions=rt:pagePath,rt:pageTitle&metrics=rt:pageviews&max-results=10000&#8243;,”query”:{“ids”:”ga:48754″,”dimensions”:”rt:pagePath,rt:pageTitle”,”metrics”:[“rt:pageviews”],”max-results”:10000},”totalResults”:704,”selfLink”:”https://www.googleapis.com/analytics/v3/data/realtime?ids=ga:48754&dimensions=rt:pagePath,rt:pageTitle&metrics=rt:pageviews&max-results=10000&#8243;,”profileInfo”:{“profileId”:”48754″,”accountId”:”86004″,”webPropertyId”:”UA-86004-1″,”internalWebPropertyId”:”97739″,”profileName”:”2. http://www.cabq.gov All Traffic”,”tableId”:”realtime:48754″},”columnHeaders”:[{“name”:”rt:pagePath”,”columnType”:”DIMENSION”,”dataType”:”STRING”},{“name”:”rt:pageTitle”,”columnType”:”DIMENSION”,”dataType”:”STRING”},{“name”:”rt:pageviews”,”columnType”:”METRIC”,”dataType”:”INTEGER”}],”totalsForAllResults”:{“rt:pageviews”:”2173″},”rows”:[[“/311/311-Information/about-311″,”About 311 — City of Albuquerque”,”1″],[“/311/311-Information/contacting-311″,”How to Contact 311 — City of Albuquerque”,”1″],[“/311/311-Information/contacting-311/dialing-311/index.html”,”Dialing 311 — City of Albuquerque”,”1″],[“/311/resident-services”,”Online Resident Services — City of Albuquerque”,”1″],[“/311/resident-services/online-resident-services/folder_summary_view?b_start:int=15&-C=”,”Online Resident Services — City of Albuquerque”,”1″],[“/311/resident-services/online-resident-services/folder_summary_view?b_start:int=30&-C=”,”Online Resident Services — City of Albuquerque”,”1″],[“/a-z”,”Albuquerque A-Z — City of Albuquerque”,”27″],[“/a-z/a-z”,”Albuquerque A-Z — City of Albuquerque”,”7″],[“/about/offsite.html”,”Leaving http://www.cabq.gov External Link Disclaimer — City of Albuquerque”,”1″],[“/abq-apps”,”ABQ Apps — City of Albuquerque”,”1″],[“/abq-data”,”ABQ Data — City of Albuquerque”,”1″],[“/abq-view/index.html”,”ABQ View — City of Albuquerque”,”27″],[“/abq-volunteers”,”ABQ Volunteers — City of Albuquerque”,”9″],[“/abq-volunteers/index.html”,”ABQ Volunteers — City of Albuquerque”,”1″],[“/acl_users/credentials_cookie_auth/require_login?came_from=https://www.cabq.gov/abq-volunteers/volunteering-announcement-form”,”City of Albuquerque”,”1″],[“/airport”,”Airport — City of Albuquerque”,”7″],[“/airport/airlines-flight-services”,”Airlines — City of Albuquerque”,”7″]

Here is a single record:

[“/311/311-Information/about-311″,”About 311 — City of Albuquerque”,”1″]

And appending the URL to cabq.gov gives us:



Now you can see what people are looking at on the City of Albuquerque website. Try gathering statistics and compile the most popular page for a day as Code for America has done.

I said I was only going to show the real-time but I had to grab historic.

Historic Data

You can grab historic data by changing the endpoint to /historic. The metric values change to:



They are formatted as YYYY-MM-DD. You can also pass dimensions of:



And here is an example of a session from 2015-02-21 to 2015-02-23 using Hours:


{“kind”:”analytics#gaData”,”id”:”https://www.googleapis.com/analytics/v3/data/ga?ids=ga:48754&dimensions=ga:nthHour&metrics=ga:sessions&start-date=2015-02-21&end-date=2015-02-23&#8243;,”query”:{“start-date”:”2015-02-21″,”end-date”:”2015-02-23″,”ids”:”ga:48754″,”dimensions”:”ga:nthHour”,”metrics”:[“ga:sessions”],”start-index”:1,”max-results”:1000},”itemsPerPage”:1000,”totalResults”:72,”selfLink”:”https://www.googleapis.com/analytics/v3/data/ga?ids=ga:48754&dimensions=ga:nthHour&metrics=ga:sessions&start-date=2015-02-21&end-date=2015-02-23&#8243;,”profileInfo”:{“profileId”:”48754″,”accountId”:”86004″,”webPropertyId”:”UA-86004-1″,”internalWebPropertyId”:”97739″,”profileName”:”2. http://www.cabq.gov All Traffic”,”tableId”:”ga:48754″},”containsSampledData”:false,”columnHeaders”:[{“name”:”ga:nthHour”,”columnType”:”DIMENSION”,”dataType”:”STRING”},{“name”:”ga:sessions”,”columnType”:”METRIC”,”dataType”:”INTEGER”}],”totalsForAllResults”:{“ga:sessions”:”48097″},“rows”:[[“000000″,”242”],[“000001″,”110”],[“000002″,”91”],[“000003″,”91”],[“000004″,”106”],[“000005″,”147”],[“000006″,”308”],[“000007″,”671”],[“000008″,”912”],[“000009″,”1098”],[“000010″,”1119”],[“000011″,”1019”],[“000012″,”1016”],[“000013″,”959”],[“000014″,”901”],[“000015″,”880”],[“000016″,”800”],[“000017″,”665”],[“000018″,”693”],[“000019″,”646”],[“000020″,”610”],[“000021″,”543”],[“000022″,”443”],[“000023″,”289”],[“000024″,”219”],[“000025″,”133”],[“000026″,”100”],[“000027″,”84”],[“000028″,”81”],[“000029″,”149”],[“000030″,”231”],[“000031″,”524”],[“000032″,”744”],[“000033″,”859”],[“000034″,”894”],[“000035″,”848”],[“000036″,”861”],[“000037″,”892”],[“000038″,”860”],[“000039″,”832”],[“000040″,”842”],[“000041″,”809”],[“000042″,”744”],[“000043″,”650”],[“000044″,”711”],[“000045″,”583”],[“000046″,”483”],[“000047″,”305”],[“000048″,”220”],[“000049″,”115”],[“000050″,”98”],[“000051″,”56”],[“000052″,”127”],[“000053″,”269”],[“000054″,”481”],[“000055″,”787”],[“000056″,”1269”],[“000057″,”1467”],[“000058″,”1595”],[“000059″,”1613”],[“000060″,”1462”],[“000061″,”1446”],[“000062″,”1528”],[“000063″,”1545”],[“000064″,”1343”],[“000065″,”995”],[“000066″,”792”],[“000067″,”742”],[“000068″,”812”],[“000069″,”728”],[“000070″,”508”],[“000071″,”302”]]}

A single records contains the hour and the number of sessions:


What to the People of Albuquerque want from their Government?

By analyzing what the people of Albuquerque search for on the City website, we can come to some conclusions as to what they deem important or what concerns they have. To do so, we need the pages they looked at over a period of time. We can use the historic endpoint and pass pageTitle to find out.


{“kind”:”analytics#gaData”,”id”:”https://www.googleapis.com/analytics/v3/data/ga?ids=ga:48754&dimensions=ga:pageTitle&metrics=ga:pageviews&start-date=2015-02-21&end-date=2015-02-23&#8243;,”query”:{“start-date”:”2015-02-21″,”end-date”:”2015-02-23″,”ids”:”ga:48754″,”dimensions”:”ga:pageTitle”,”metrics”:[“ga:pageviews”],”start-index”:1,”max-results”:1000},”itemsPerPage”:1000,”totalResults”:3090,”selfLink”:”https://www.googleapis.com/analytics/v3/data/ga?ids=ga:48754&dimensions=ga:pageTitle&metrics=ga:pageviews&start-date=2015-02-21&end-date=2015-02-23&#8243;,”nextLink”:”https://www.googleapis.com/analytics/v3/data/ga?ids=ga:48754&dimensions=ga:pageTitle&metrics=ga:pageviews&start-date=2015-02-21&end-date=2015-02-23&start-index=1001&max-results=1000&#8243;,”profileInfo”:{“profileId”:”48754″,”accountId”:”86004″,”webPropertyId”:”UA-86004-1″,”internalWebPropertyId”:”97739″,”profileName”:”2. http://www.cabq.gov All Traffic”,”tableId”:”ga:48754″},”containsSampledData”:false,”columnHeaders”:[{“name”:”ga:pageTitle”,”columnType”:”DIMENSION”,”dataType”:”STRING”},{“name”:”ga:pageviews”,”columnType”:”METRIC”,”dataType”:”INTEGER”}],”totalsForAllResults”:{“ga:pageviews”:”129345″},”rows”:[[“\”A Senior I Know\” Essay Contest — City of Albuquerque”,”30″],[“\”On the Commons\” Magazine Features Albuquerque Open Space — City of Albuquerque”,”3″],[“\”We Love Our BioPark\” Video Contest Launches — City of Albuquerque”,”3″],[“\”Website Transparency Team\”: Week of April 18, 2011 — City of Albuquerque”,”1″],[“‘Pacific Coral Reef’ Exhibit Now Open — City of Albuquerque”,”1″],[“(Memorial) Tribute Tree Program — City of Albuquerque”,”3″],[“(not set)”,”13″],[“01-28-2015 – 15-11-104F – Follow-up – On-Call Contractors – Department of Municipal Development — City of Albuquerque”,”1″],[“01-28-2015 – 15-12-107F – Follow-up – Health and Social Service Centers – Department of Family and Community Services — City of Albuquerque”,”1″],[“02-17-12 CASE# 12-202 Whistleblower Complaint against the Solid Waste Management Department — City of Albuquerque”,”1″],[“02-28-07 — 06-04-105F Follow-Up – Environmental Health Department Expenditures — City of Albuquerque”,”2″],[“04-16-09 — 07-204 – Final Investigative Report – Stolen Vehicles, SWMD — City of Albuquerque”,”1″],[“06-25-12 Case# 12-213 Collision Involving a Motor Coach Operator — City of Albuquerque”,”1″],[“06-25-2014 Case # 204 Water Authority — City of Albuquerque”,”1″],[“1 – Educated, literate residents — City of Albuquerque”,”1″],[“1-11-10 RYAB Facilitated Meeting Notes — City of Albuquerque”,”1″],[“1.1 Adult Educational Achievement Rates — City of Albuquerque”,”2″],[“10 – Basic needs provided for — City of Albuquerque”,”1″],[“10-Year Spending Trends — City of Albuquerque”,”8″],[“10.1 Residents Living in Poverty — City of Albuquerque”,”1″],[“10.2 Unemployment Rate — City of Albuquerque”,”1″],[“11 – The public is safe — City of Albuquerque”,”1″],[“11-19-07 — 07-202 – Investigation – Alleged Excessive Overtime Claim, ABQ Ride Department — City of Albuquerque”,”1″],


I have given you the endpoints. It is up to you to parse out the data. The code for that is on almost every post on this blog. Just grab any AJAX request up to JSON.parse() and grab results.rows[x].[0 through 1]. Something like that should be close.


the Unofficial Guide to Albuquerque Open Data

10 Feb

Over the weekend I became ill and so had some time on my hands. This is what I cam up with: The Unofficial Guide to Albuqerque Open Data.