After the septic was replaced and hillsides graded and a lot of brush removed, Ken suggested we hydroseed to protect the open hillside. This gave ua a great bloom of wildflowers and grass.
What was surprising was that Morgan Karst of Superior Hydroseeding was someone I went to high school with.
We did a lot of work on grading the property with Ken Clausing of A+ Construction. He and his crew replaced our septic lines, removed a lot of brush, graded a swale, graded a place for the propane tank, removed stumps and gave us lots of good advice for mountain livin'.
These initial grading projects helped us get a handle on managing the rain and brush that grow relentlessly. We did later projects that used these basic grading projects to build out terraces and increase our firebreak.
As I continue to study the MEAN.JS framework, I wanted to develop an app that would help cement what I've learned, illustrate some of the points I got hung up on and try to define problems well enough that I can try to get some more help where needed.
The failed septic system in late May 2012, got us started on a number of projects. Ken Clausing of A+ Construction was nice enough to come up that day. This is the project that started it all...
One of my objectives with migrating data out of Drupal and into a MEAN stack app is for easier management of downstream requests for JSON data. We want to take advantage of the built in functionality of the MeanJS stack, and here's a simple exaple.
In this use case we wish to expose articles to some other app who will make a HTTP GET request for all the articles or just one.
In app/controllers/articles.server.routes.js, we need to add entries for the two functions we'll allow via GET.
app.route('/api/articles')
.get(articles.list);
Created a norcal.cities.geojson file via geojson.io site.
In this tutorial we will load a small data set into MongoDB and build a simple map that adds a marker to a map. There is some preparation for this tutorial, so you will need the following:
- a working MeanJS environment
- created an Article in your working environment
- be prepared to do some find / replace in the GeoJSON data file attached to this tutorial
- be able to run commands from the terminal to load data into MongoDB via mongoimport and install angular-leaflet-directive
Well, I'm no expert but here's a tip that might save you some time. I have a Drupal databae outputting valid GeoJSON data. Our data looks like this:
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-122.0570486784,
36.99607280576
]
},
"properties": {
"name": "Dean of Students Office",
"description": null,
"Food Type": "",
I took some time to try MeanIO over the past few days. While I ended up coming back to MeanJS, I drew some conclusions that might be helpful.
Here's the use case. I wanted to take a GeoJSON file, load it into a boilerplate MEAN stack, generate CRUD files and get a basic app tested. Ideally, I'd want to tweak the layouts, menus, and boilerplate HTML as well as use bower to add js libs that add functionality.
Update 5/1/15 - On a different instance of Mongo, I had run the command noted below and got errors. However, this worked:
mongoimport --db mean-dev -c points --file "points.geojson" --jsonArray
Let me save you the hours lost in trying to figure out getting GeoJSON features into individual documents in a collection versus one document with nested features.
MongoDB 3.0.2. Valid GeoJSON file full of 809 features.
Using this code:
mongoimport --db test --type json --file ./'mobilemaps.geojson'
As we prepare to break ground on the next phase of construction at the house, I started to go back and record some of the projects we've done over the past few years. I've been sorting through thousands of images taken and trying to slim that down into some interesting reminders of how things used to look.
It kinda depends on where we start in the timeline, but it roughly went like this.
13 years ago, the side yard of the house looked like this. That's a bocce ball court with a xeryscape and brick patio.