https://github.com/andream16/mean-geographic-google-maps

DB Project for Data Bases 2 Exam
https://github.com/andream16/mean-geographic-google-maps

angular bower express geometry-objects mongodb mongoose nodejs polygon

Last synced: about 1 month ago
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DB Project for Data Bases 2 Exam

• Host: GitHub
• URL: https://github.com/andream16/mean-geographic-google-maps
• Owner: andream16
• Created: 2016-06-03T16:03:18.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-18T09:29:09.000Z (almost 8 years ago)
• Last Synced: 2024-12-19T17:54:55.080Z (about 1 month ago)
• Topics: angular, bower, express, geometry-objects, mongodb, mongoose, nodejs, polygon
• Language: JavaScript
• Size: 3.91 MB
• Stars: 2
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MEAN-Geographic-Google-Maps

## Using Google Maps + MEAN Stack to work with geometry Objects

This project is essentially a fork of  @Ahmed Haque Making MEAN Apps with Google Maps available at https://github.com/afhaque/MeanMapAppV2.0

If you have ever wondered about using Google Maps Api in a Mean Stack Application and using `geoSpatial Queries` in `MongoDB` you can take this project as an example to kickstart your next application.

[![1.png](https://s18.postimg.org/hut102ppl/image.png)](https://postimg.org/image/h5a8npp5x/)

[![2.png](https://s10.postimg.org/imux101rd/image.png)](https://postimg.org/image/bwefrkelh/)

I made different changes to project's structure and added Polyline and Polygon support with some Geospatial Queries on the latter objects.

### What you need to run the project:

 - Node ~^4.4.7

 - NPM ~^2.15

 - MongoDB ~^3.2.7

 - Bower ~^1.7.9

### How to install bower and npm packages:

 - Go on Project's folder

 - run: `bower install`

 - run: `npm install`

### How to run the project:

 - if you have nodemon: `nodemon server.js`

 - else: `npm start server.js`

### Remember to change `Google-Maps-Key` with yours.

``

### Example of Geometry Objects

#### Point

`{ 

    "name" : "point1",

    "geo" : {

        "coordinates" : [

            52.483, 

            16.084

        ], 

        "type" : "Point"

    }

}`

#### LineString

`{ 

    "name" : "linestring2",

    "geo" : {

        "coordinates" : [

            [

                38.232, 

                38.823

            ], 

            [

                70.576, 

                51.289

            ], 

            [

                91.67, 

                59.801

            ], 

            [

                91.318, 

                68.073

            ]

        ], 

        "type" : "LineString"

    }

}`

#### Polygon (it has to be closed -> first point coordinates == last point coordinates)

`{ 

    "name" : "polygon1", 

    "geo" : {

        "coordinates" : [

            [

                [

                    3.779, 

                    9.276

                ], 

                [

                    14.854, 

                    15.115

                ], 

                [

                    38.408, 

                    17.309

                ], 

                [

                    40.693, 

                    7.711

                ], 

                [

                    35.068, 

                    -7.885

                ], 

                [

                    5.889, 

                    -9.622

                ], 

                [

                    1.143, 

                    -3.689

                ], 

                [

                    3.779, 

                    9.276

                ]

            ]

        ], 

        "type" : "Polygon"

    }

}`

### MongoDB Collection

I provided an example collection `geometry-collection.json` that is possible to import through tools like `RoboMongo` or `MongoChef`.