├── example
├── img
│ ├── ball.png
│ ├── disc.png
│ ├── grid.png
│ ├── circle.png
│ └── smokeparticle.png
├── index.html
├── sample-data
│ ├── cities.json
│ ├── orism.json
│ ├── streams.json
│ └── sample1.json
└── example2.html
├── webpack.config.js
├── package.json
├── LICENSE
├── .gitignore
└── README.md
/example/img/ball.png:
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https://raw.githubusercontent.com/zcanter/aframe-scatterplot/HEAD/example/img/ball.png
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/example/img/disc.png:
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https://raw.githubusercontent.com/zcanter/aframe-scatterplot/HEAD/example/img/disc.png
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/example/img/grid.png:
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https://raw.githubusercontent.com/zcanter/aframe-scatterplot/HEAD/example/img/grid.png
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/example/img/circle.png:
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https://raw.githubusercontent.com/zcanter/aframe-scatterplot/HEAD/example/img/circle.png
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/example/img/smokeparticle.png:
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https://raw.githubusercontent.com/zcanter/aframe-scatterplot/HEAD/example/img/smokeparticle.png
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/webpack.config.js:
--------------------------------------------------------------------------------
1 | const path = require('path');
2 | const webpack = require('webpack');
3 |
4 | module.exports = {
5 | context: path.resolve(__dirname, './build'),
6 | entry: {
7 | app: './index.js',
8 | },
9 | output: {
10 | path: path.resolve(__dirname, './dist'),
11 | filename: 'a-scatterplot.min.js',
12 | },
13 | module: {
14 | loaders: [
15 | { test: /\.(jpe?g|gif|png|svg|woff|ttf|wav|mp3)$/, loader: "file-loader" }
16 | ]
17 | },
18 | plugins:[
19 | new webpack.DefinePlugin({
20 | 'process.env.NODE_ENV': JSON.stringify('production')
21 | })
22 | ]
23 | };
24 |
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/example/index.html:
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1 |
2 |
3 |
4 |
5 | AFrame Scatterplot
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
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/package.json:
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1 | {
2 | "name": "aframe-scatterplot",
3 | "version": "1.0.3",
4 | "description": "AFrame JSON data scatterplot component",
5 | "main": "./dist/a-scatterplot.min.js",
6 | "directories": {
7 | "example": "example"
8 | },
9 | "scripts": {
10 | "test": "echo \"Error: no test specified\" && exit 1"
11 | },
12 | "repository": {
13 | "type": "git",
14 | "url": "git+https://zcanter@github.com/zcanter/aframe-scatterplot.git"
15 | },
16 | "keywords": [
17 | "aframe",
18 | "webvr",
19 | "datavis"
20 | ],
21 | "author": "Zac Canter (https://github.com/zcanter)",
22 | "license": "MIT",
23 | "bugs": {
24 | "url": "https://github.com/zcanter/aframe-scatterplot/issues"
25 | },
26 | "homepage": "https://github.com/zcanter/aframe-scatterplot#readme",
27 | "devDependencies": {
28 | "json-loader": "^0.5.4",
29 | "webpack": "^2.4.1"
30 | },
31 | "dependencies": {
32 | "load-bmfont": "^1.3.0",
33 | "object-assign": "^4.1.1",
34 | "three-bmfont-text": "^2.2.1"
35 | }
36 | }
37 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2017 Zac Canter
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # Logs
2 | logs
3 | *.log
4 | npm-debug.log*
5 |
6 | # Runtime data
7 | pids
8 | *.pid
9 | *.seed
10 |
11 | # Directory for instrumented libs generated by jscoverage/JSCover
12 | lib-cov
13 |
14 | # Coverage directory used by tools like istanbul
15 | coverage
16 |
17 | # nyc test coverage
18 | .nyc_output
19 |
20 | # Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
21 | .grunt
22 |
23 | # node-waf configuration
24 | .lock-wscript
25 |
26 | # Compiled binary addons (http://nodejs.org/api/addons.html)
27 | build/Release
28 |
29 | # Dependency directories
30 | node_modules
31 | jspm_packages
32 |
33 | # Optional npm cache directory
34 | .npm
35 |
36 | # Optional REPL history
37 | .node_repl_history
38 |
39 | # Created by https://www.gitignore.io/api/osx,sublimetext
40 |
41 | ### OSX ###
42 | *.DS_Store
43 | .AppleDouble
44 | .LSOverride
45 |
46 | # Icon must end with two \r
47 | Icon
48 |
49 |
50 | # Thumbnails
51 | ._*
52 |
53 | # Files that might appear in the root of a volume
54 | .DocumentRevisions-V100
55 | .fseventsd
56 | .Spotlight-V100
57 | .TemporaryItems
58 | .Trashes
59 | .VolumeIcon.icns
60 | .com.apple.timemachine.donotpresent
61 |
62 | # Directories potentially created on remote AFP share
63 | .AppleDB
64 | .AppleDesktop
65 | Network Trash Folder
66 | Temporary Items
67 | .apdisk
68 |
69 | ### SublimeText ###
70 | # cache files for sublime text
71 | *.tmlanguage.cache
72 | *.tmPreferences.cache
73 | *.stTheme.cache
74 |
75 | # workspace files are user-specific
76 | *.sublime-workspace
77 |
78 | # project files should be checked into the repository, unless a significant
79 | # proportion of contributors will probably not be using SublimeText
80 | # *.sublime-project
81 |
82 | # sftp configuration file
83 | sftp-config.json
84 |
85 | # Package control specific files
86 | Package Control.last-run
87 | Package Control.ca-list
88 | Package Control.ca-bundle
89 | Package Control.system-ca-bundle
90 | Package Control.cache/
91 | Package Control.ca-certs/
92 | Package Control.merged-ca-bundle
93 | Package Control.user-ca-bundle
94 | oscrypto-ca-bundle.crt
95 | bh_unicode_properties.cache
96 |
97 | # Sublime-github package stores a github token in this file
98 | # https://packagecontrol.io/packages/sublime-github
99 | GitHub.sublime-settings
100 |
101 | # End of https://www.gitignore.io/api/osx,sublimetext
102 |
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/example/sample-data/cities.json:
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1 | [{"City": "Buenos Aires", "Area": 700, "Pop 1980": 9918, "Pop 1990": 11448, "Pop 2000": 12822, "Growth": 1.399999976, "Food": 40, "PersRoom": 1.299999952, "Water": 80, "Elec": 91, "Phones": 14, "Vehicles": 1000 }, {"City": "Dhaka", "Area": 100, "Pop 1980": 3290, "Pop 1990": 6578, "Pop 2000": 11511, "Growth": 7.199999809, "Food": 63, "PersRoom": 2.400000095, "Water": 60, "Elec": 85, "Phones": 2, "Vehicles": 600 }, {"City": "Rio de Janeiro", "Area": 650, "Pop 1980": 8789, "Pop 1990": 10948, "Pop 2000": 12162, "Growth": 2.200000048, "Food": 26, "PersRoom": 0.800000012, "Water": 86, "Elec": 98, "Phones": 8, "Vehicles": 4000 }, {"City": "Sao Paolo", "Area": 800, "Pop 1980": 12101, "Pop 1990": 18119, "Pop 2000": 22552, "Growth": 4.099999905, "Food": 50, "PersRoom": 0.800000012, "Water": 100, "Elec": 100, "Phones": 16, "Vehicles": 4000 }, {"City": "Beijing", "Area": 1680, "Pop 1980": 9029, "Pop 1990": 10867, "Pop 2000": 14366, "Growth": 1.899999976, "Food": 52, "PersRoom": 1.200000048, "Water": 88, "Elec": 90, "Phones": 2, "Vehicles": 308 }, {"City": "Shanghai", "Area": 630, "Pop 1980": 11739, "Pop 1990": 13447, "Pop 2000": 17407, "Growth": 1.399999976, "Food": 55, "PersRoom": 2, "Water": 95, "Elec": 95, "Phones": 4, "Vehicles": 148 }, {"City": "Tianjin", "Area": 400, "Pop 1980": 7268, "Pop 1990": 9249, "Pop 2000": 12508, "Growth": 2.400000095, "Food": 52, "PersRoom": 1.299999952, "Water": 80, "Elec": 84, "Phones": 4, "Vehicles": 200 }, {"City": "Cairo", "Area": 21.39999962, "Pop 1980": 6852, "Pop 1990": 8633, "Pop 2000": 10761, "Growth": 2.299999952, "Food": 47, "PersRoom": 1.5, "Water": 91, "Elec": 98, "Phones": 4, "Vehicles": 939 }, {"City": "Bombay", "Area": 60, "Pop 1980": 8067, "Pop 1990": 12223, "Pop 2000": 18142, "Growth": 4.199999809, "Food": 57, "PersRoom": 4.199999809, "Water": 92, "Elec": 78, "Phones": 5, "Vehicles": 588 }, {"City": "Calcutta", "Area": 130, "Pop 1980": 9030, "Pop 1990": 10741, "Pop 2000": 12675, "Growth": 1.799999952, "Food": 60, "PersRoom": 3, "Water": 51, "Elec": 63, "Phones": 2, "Vehicles": 500 }, {"City": "Delhi", "Area": 59.09999847, "Pop 1980": 5559, "Pop 1990": 8171, "Pop 2000": 11692, "Growth": 3.900000095, "Food": 40, "PersRoom": 3.099999905, "Water": 50, "Elec": 81, "Phones": 5, "Vehicles": 1660 }, {"City": "Jakarta", "Area": 59, "Pop 1980": 5985, "Pop 1990": 9206, "Pop 2000": 13380, "Growth": 4.400000095, "Food": 45, "PersRoom": 3.400000095, "Water": 75, "Elec": 94, "Phones": 3, "Vehicles": 1380 }, {"City": "Osaka", "Area": 200, "Pop 1980": 9990, "Pop 1990": 10482, "Pop 2000": 10601, "Growth": 0.5, "Food": 18, "PersRoom": 0.600000024, "Water": 96, "Elec": 100, "Phones": 42, "Vehicles": 4400 }, {"City": "Tokyo", "Area": 216, "Pop 1980": 21854, "Pop 1990": 25013, "Pop 2000": 27956, "Growth": 1.399999976, "Food": 18, "PersRoom": 0.899999976, "Water": 100, "Elec": 100, "Phones": 44, "Vehicles": 4400 }, {"City": "Seoul", "Area": 165, "Pop 1980": 8283, "Pop 1990": 10979, "Pop 2000": 12949, "Growth": 2.900000095, "Food": 34, "PersRoom": 2, "Water": 100, "Elec": 100, "Phones": 22, "Vehicles": 2660 }, {"City": "Mexico City", "Area": 250, "Pop 1980": 13888, "Pop 1990": 15085, "Pop 2000": 16190, "Growth": 0.800000012, "Food": 41, "PersRoom": 1.899999976, "Water": 92, "Elec": 97, "Phones": 6, "Vehicles": 2500 }, {"City": "Lagos", "Area": 40, "Pop 1980": 4385, "Pop 1990": 7742, "Pop 2000": 13480, "Growth": 5.800000191, "Food": 58, "PersRoom": 5.800000191, "Water": 47, "Elec": 53, "Phones": 1, "Vehicles": 500 }, {"City": "Karachi", "Area": 353, "Pop 1980": 5023, "Pop 1990": 7943, "Pop 2000": 11895, "Growth": 4.699999809, "Food": 43, "PersRoom": 3.299999952, "Water": 66, "Elec": 84, "Phones": 2, "Vehicles": 650 }, {"City": "Manila", "Area": 64, "Pop 1980": 5966, "Pop 1990": 8882, "Pop 2000": 12582, "Growth": 4.099999905, "Food": 38, "PersRoom": 3, "Water": 89, "Elec": 93, "Phones": 9, "Vehicles": 510 }, {"City": "Los Angeles", "Area": 1660, "Pop 1980": 9523, "Pop 1990": 11456, "Pop 2000": 13151, "Growth": 1.899999976, "Food": 12, "PersRoom": 0.5, "Water": 91, "Elec": 98, "Phones": 35, "Vehicles": 8000 }, {"City": "New York", "Area": 359, "Pop 1980": 15601, "Pop 1990": 16056, "Pop 2000": 16645, "Growth": 0.300000012, "Food": 16, "PersRoom": 0.5, "Water": 99, "Elec": 100, "Phones": 56, "Vehicles": 1780 } ]
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/example/example2.html:
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4 |
5 | Example 2 for a-scatterplot
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/README.md:
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1 | # AFrame - Scatterplot
2 |
3 | ### Introduction
4 |
5 | An all-purpose data visualization component for the [AFrame](https://aframe.io/) WebVR Framework.
6 |
7 | Check out the example drag and drop application: https://zcanter.github.io/vr-scatterplot/
8 |
9 | There is also a full example, with orbit-cam, in ./examples/example2.html
10 |
11 | 
12 |
13 | #### Browser Installation
14 |
15 | Install and use by directly including the [browser file](dist):
16 |
17 | You must also include a link the [D3](https://d3js.org/) JavaScript data visualization framework.
18 |
19 | ```html
20 |
21 | My A-Frame Scene
22 |
23 |
24 |
25 |
26 |
27 |
28 |
29 |
30 |
31 |
32 | ```
33 |
34 | #### NPM Installation
35 |
36 | Install via NPM:
37 |
38 | ```bash
39 | npm install aframe
40 | npm install d3
41 | npm install aframe-scatterplot
42 | ```
43 |
44 | Then register and use.
45 |
46 | ```js
47 | require('aframe');
48 | require('d3');
49 | require('aframe-scatterplot');
50 | ```
51 |
52 | ### Data Formatting
53 |
54 | Datasets should be formatted as follows:
55 |
56 |
57 | ```javascript
58 | [
59 | {
60 | // Data Point
61 | "Field1": 13.90738679789567,
62 | "Field2": 11.77935227940546,
63 | "Field3": 12.02052097080796,
64 | "Field4": 11.31274091176219,
65 | "Field5": 14.13415151546462,
66 | },
67 | {
68 | // Data Point
69 | "Field1": 12.29829187876160,
70 | "Field2": 10.12398967761787,
71 | "Field3": 16.81298749861520,
72 | "Field4": 13.92371645984898,
73 | "Field5": 11.35138647618786,
74 | },
75 | {...},
76 | {...},
77 | ]
78 | ```
79 |
80 | Example (Sea Surface Temperature 1km resolution):
81 |
82 | ```javascript
83 | [
84 | {
85 | "lat":-80,
86 | "lon":-180,
87 | "val":-108
88 | },
89 | {
90 | "lat":-80,
91 | "lon":-179,
92 | "val":-103
93 | },
94 | {...},
95 | {...},
96 | ]
97 | ```
98 |
99 | *How can I format my data in this way?*
100 |
101 | The easiest way to do this is to get a CSV of your dataset and use the online CSV to JSON conversion tool [convertcsv](http://www.convertcsv.com/csv-to-json.htm). If you are a programmer you can use your favorite language to do so as well. Most popular programming languages have JSON writing capabilities of some sort.
102 |
103 | *How can I get a CSV export of my data?*
104 |
105 | The easiest way to get a CSV export is to open your data in Excel or Google Sheets and export as it a CSV file. You can also do this programmatically in your favorite language.
106 |
107 | *Can I only use geospatial data?*
108 |
109 | No, you can use non-geospatial data as long as it is formatted in the style shown above. It is important to note though that if two spacial dimensions share a unit of measurement (i.e. x and y dimensions are both in kelvin) you should specify this in the relationship option (detailed in API below).
110 |
111 | *How many fields can I have?*
112 |
113 | You may have as many fields as you like, but note you can only visualize three spacial dimensions and one color mapped dimension at any given time.
114 |
115 | *How many points can my dataset have?*
116 |
117 | We have experimented with over 5 million data points with no problems.
118 |
119 | *Do I need to normalize or scale my values?*
120 |
121 | No, the a-scatterplot component will do that for you programmatically. It is totally fine for you to leave the values at their original readings.
122 |
123 | *Where can I find example data?*
124 |
125 | Example datasets can be found [here](https://github.com/zcanter/aframe-scatterplot/tree/master/example/sample-data).
126 |
127 | *I'm confused mapping my X/Y/Z axis data to Aframe's X/Y/Z space*
128 |
129 | AFrame's coordinate system starts X,Y at the lower lefthand corner, and Z values increasing toward the camera. The scatterplot component uses this axis system.
130 | Further complicating this is the fact that the title and color bar are oriented relative to the Z axis in AFrame space, not to the X axis as you normally expect in a scatterplot. This is because the plot was initially designed for use with geospatial data in which X and Y values are usually latitude and longitude.
131 |
132 | Therefore, a nice initial setting for the axes mappings is:
133 | ```
134 | X axis (left/right on screen): Your Y axis values
135 | Z axis (toward camera): your X-axis values
136 | Y axis (up/down on screen): Your Z values
137 | ```
138 | So the component attributes will be like
139 |
140 | x="y" y="z" z="x" val="z" xlabel="My Y Axis" ylabel="My Z axis" zlabel="My X axis"
141 |
142 | and add
143 |
144 | rotation="0 90 0"
145 |
146 | to pivot the whole thing so that the title and color bar are placed correctly.
147 |
148 | If your X and Y values have the scame scale, add
149 |
150 | relationship="zx"
151 |
152 | If you want to make the vertical hieght shorter than the X/Y size, set
153 |
154 | scale="1 0.5 1
155 |
156 | Setting a nice location for an orbit-controls lookat target is a bit tricky, but see example2.html for a working example.
157 |
158 | ### API
159 |
160 | | Property | Example | Description | Default Value |
161 | | ---------- | ----------- | ------------- | ------------- |
162 | | src | url(data.json) | The path to the data set | none |
163 | | title | Sea Surface Temperature | Title of the dataset | undefined
164 | | x | lat | X dimension from field name | undefined |
165 | | y | val | Y dimension from field name | undefined |
166 | | z | lon | Z dimension from field name | undefined |
167 | | s | size | Point size from field name | undefined |
168 | | val | val | Color mapped dimension from field name | undefined |
169 | | colorpreset | jet | Name of the color map preset | jet |
170 | | fillval | -32768, 4506 | Number (or numbers) representing fill values/ignored values separated by comma | none |
171 | | relationship | xz | Dimensions that share units of measurements | none |
172 | | pointSize | 3.5 | Size of the rendered data point | 1 |
173 | | pointcolor | "rgb(255,0,0)" | Color all the points with the same color. If specified, colorpreset is ignored. This should be a string that is parsable by the THREE.Color() function | [] |
174 | | pointsprite | dist/img/ball.png | URL of the image to use to render each point. If you do not specify point sizes, by default this component will use the THREE.PointMaterial to render the points as pixels, not sprites. If you specify point sizes or specify this sprite | dist/img/ball.png |
175 | | raw | [{lat: -79, lon: 180, val: 103},...] | The raw data in a JS object array | none |
176 | | xfill | -45, 63 | Fill or ignored values in X dimension | none|
177 | | yfill | -78 | Fill or ignored values in Y dimension | none|
178 | | zfill | 12 | Fill or ignored values in Z dimension | none|
179 | | xLimit | 0.7 | Limit of relative X dimension width in 3D space | 1|
180 | | yLimit | 0.5 | Limit of relative Y dimension width in 3D space | 1|
181 | | zLimit | 0.2 | Limit of relative Z dimension width in 3D space | 1|
182 | | xFlip | true | Invert the X shape | false |
183 | | yFlip | true | Invert the Y shape | false |
184 | | zFlip | true | Invert the Z shape | false |
185 | | xlabel | "aframe X / my Y" | label along the X axis (see discussion about Axes) | none |
186 | | ylabel | "aframe Y / my Z" | label along the Y axis (see discussion about Axes) | none |
187 | | zlabel | "aframe Z / my X" | label along the Z axis (see discussion about Axes) | none |
188 | | numdecimalplaces | 1 | Number of decimal points to show in axis numbering and color bar | 4 |
189 | | showcolorbar | false | Show the color bar? | true|
190 | | nochrome | true | Turn off rendering of axes, tics, title, and color bar? Useful if you want to create a second scatterplot directly on top of another one. | false |
191 | | showTicks | false | Show tick marks and labels? | true |
192 | | showTickLabels | false | Show tick mark labels? | true |
193 | | textColor | #F00 | Color for text | #000 |
194 | | ycage | true | Draw vertical frame around plot | false |
195 | | showFloor | true | Draw a floor on the graph | false |
196 | | floorMaterialParams | | Parameters passed to the foor material | "color: #fff; opacity:0.5; transparent:true;" |
197 |
198 |
199 |
200 |
201 | ### Questions or Issues?
202 |
203 | Feel free to open a GitHub Issue or to contact me directly at zrcanter [-at-] gmail
204 |
205 | ### Special Thanks
206 |
207 | Thank you to the NASA-JPL Instrument Data Systems VR working group for helping in the creation of this tool. Also thanks to [Dan Moran](https://github.com/morandd) for his awesome additions to this project! Check out his [AFrame-Heatmap](https://github.com/morandd/aframe-heatmap3d/) visualizer as well!
208 |
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/example/sample-data/orism.json:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "Row": 36,
4 | "Col": 24,
5 | "Lat": 41.088,
6 | "Lon": -119.023,
7 | "Elev": 1544,
8 | "TJan1x": -0.6,
9 | "TJul1x": 15.8,
10 | "PJan1x": 72,
11 | "PJul1x": 23,
12 | "TJan2x": 3.3,
13 | "TJul2x": 18.7,
14 | "PJan2x": 76,
15 | "PJul2x": 34
16 | },
17 | {
18 | "Row": 36,
19 | "Col": 25,
20 | "Lat": 41.217,
21 | "Lon": -118.304,
22 | "Elev": 1515,
23 | "TJan1x": -0.8,
24 | "TJul1x": 16.7,
25 | "PJan1x": 71,
26 | "PJul1x": 14,
27 | "TJan2x": 3.2,
28 | "TJul2x": 19.6,
29 | "PJan2x": 76,
30 | "PJul2x": 27
31 | },
32 | {
33 | "Row": 36,
34 | "Col": 26,
35 | "Lat": 41.34,
36 | "Lon": -117.581,
37 | "Elev": 1565,
38 | "TJan1x": -1.3,
39 | "TJul1x": 16.5,
40 | "PJan1x": 69,
41 | "PJul1x": 12,
42 | "TJan2x": 2.6,
43 | "TJul2x": 19.4,
44 | "PJan2x": 75,
45 | "PJul2x": 19
46 | },
47 | {
48 | "Row": 36,
49 | "Col": 27,
50 | "Lat": 41.459,
51 | "Lon": -116.855,
52 | "Elev": 1675,
53 | "TJan1x": -2.3,
54 | "TJul1x": 15.1,
55 | "PJan1x": 73,
56 | "PJul1x": 18,
57 | "TJan2x": 1.7,
58 | "TJul2x": 18.1,
59 | "PJan2x": 72,
60 | "PJul2x": 26
61 | },
62 | {
63 | "Row": 36,
64 | "Col": 28,
65 | "Lat": 41.574,
66 | "Lon": -116.127,
67 | "Elev": 1780,
68 | "TJan1x": -3.3,
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1711 | }
1712 | ]
--------------------------------------------------------------------------------
/example/sample-data/streams.json:
--------------------------------------------------------------------------------
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