Gets all polygons from a json file - json

I have a json file, with the coordinates of several polygons. What I want to do is automate the getting the coordinates but saving them separately by polygons. In the file that I currently use, I have 2 polygons:
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[
[[[0.03990083369766674,41.65117297365802],[0.03986585098450487,41.6511738730363],[0.0398193071116094,41.65118861345209],[0.03978640897789055,41.651211227828185],[0.039785212880236676,41.65121205009294],[0.039761889395081365,41.65124414021116],[0.03975127958141444,41.65127097990489],[0.03973309671778063,41.65131697476312],[0.039706482497244025,41.651425988964064],[0.03969658765996025,41.65146652049745],[0.039683272167788275,41.65150292059053],[0.03968380609505212,41.65151410540278],[0.03968455879000179,41.6515298809837],[0.03969278143750318,41.65153853529924],[0.03969588944738445,41.651541805918015],[0.03971376972429572,41.65156062329174],[0.039752407785648564,41.65158215221135],[0.03979465677110295,41.65160350427274],[0.03988602119749911,41.651632606242316],[0.03992955596697664,41.65164948823451],[0.03993958742929026,41.65165619711021],[0.039968351608118506,41.651675434417314],[0.03999355934521909,41.651701840766634],[0.04000585559790465,41.65173745966629],[0.04000155651951174,41.65177364266802],[0.03998752269819514,41.65181002432095],[0.03993384247251406,41.65191499844431],[0.0399064931590255,41.65198778102845],[0.03987869457550017,41.65209657478536],[0.03987154648804941,41.65213727647139],[0.03986267424301351,41.65216458136081],[0.039847923768933036,41.65220997439829],[0.03980755819723356,41.65227854926681],[0.03978735697119576,41.65231062932676],[0.0397695957173166,41.65234709479867],[0.039757844288369676,41.65238344543852],[0.03975297859328857,41.65242411611149],[0.03975461138812371,41.65245838049552],[0.039754692692589313,41.652460093756645],[0.03976241996958375,41.65249586520693],[0.039775312175620324,41.65253159055675],[0.039792208417040606,41.65257165102716],[0.0398126778639959,41.65260712072893],[0.03984532034965278,41.652678297340344],[0.039888420936520154,41.652749203216246],[0.039899750755712435,41.652784978019326],[0.03990246230155005,41.65282539304425],[0.03990100971764384,41.65284035977143],[0.03989973315371473,41.652853510978275],[0.03989900644266644,41.65286150731441],[0.03988340855812481,41.65289793925871],[0.03982299431103434,41.65300310029855],[0.03980279308499652,41.653035180358444],[0.039796679324458795,41.65304764676378],[0.03978491196989489,41.653071643315826],[0.0397440929372068,41.65317631904341],[0.0397286140756973,41.65321275350229],[0.03970857042944851,41.65324925082547],[0.03966616386420511,41.6533061086308],[0.03966059408921564,41.6533135760688],[0.03962721818698753,41.653337031149846],[0.039608159414420085,41.65335700606448],[0.03959644067489746,41.653369288906106],[0.039574675385634625,41.65340141925745],[0.03955691413175548,41.653437884729385],[0.03954504200339567,41.653474232016464],[0.03952742659464041,41.65350945529025],[0.03952465972823856,41.65351498818487],[0.03951080444147017,41.653542693729264],[0.03949758031204822,41.6535615806728],[0.03948831998487233,41.6535748056404],[0.03938851917243118,41.65370353659338],[0.039367413538987255,41.65375064205381],[0.039358610025561444,41.653770290912405],[0.039341569615398024,41.653808324638504],[0.03932925156976292,41.65384916294957],[0.039294849722525456,41.653976004621455],[0.03927882436089661,41.65403509285139],[0.03927713624549725,41.654056445750996],[0.03927596780812548,41.65407122304717],[0.039281407663608055,41.65410711603502],[0.039310323554892744,41.654178376465495],[0.03936399288409906,41.65425614795873],[0.039382605739391195,41.65428311924833],[0.03939218541709694,41.654297000518994],[0.0394054858218423,41.65431627386832],[0.03942630395599031,41.65434644117781],[0.039450928312595376,41.6544222747749],[0.03945708817360331,41.65445818620299],[0.039456164487818746,41.654516564485675],[0.03945594907289441,41.654530202681144],[0.039453803305554584,41.65455188918051],[0.03945192324456115,41.65457089514709],[0.03943704788011598,41.65460725500702],[0.03941627919919963,41.65464382357635],[0.03934394253232732,41.654732627331185],[0.0393319027658941,41.654747407980096],[0.039311307590383746,41.65477269199252],[0.03926260956824479,41.6548369987957],[0.03925610688737672,41.65484747114613],[0.03921995489865273,41.65490569352545],[0.03921109941742416,41.65492864736862],[0.0392059194009554,41.6549420751783],[0.03919861708647711,41.65497826991475],[0.03919375139139601,41.65501894058772],[0.039193012107492216,41.655039557556165],[0.03919245806365955,41.655055020492085],[0.03919789791914211,41.655090913479995],[0.03921464077172523,41.65512646783898],[0.03923784355746767,41.65515732497917],[0.03926289874392143,41.65517922521707],[0.03928896814071942,41.655192054558825],[0.03933606186649572,41.65518633390957],[0.0394175440284636,41.655148178645845],[0.039442782778607764,41.65513278192702],[0.03945621058828894,41.65512459029256],[0.039527098862206865,41.65506869053877],[0.039586379037730636,41.65501163156773],[0.039623324792732284,41.654976069665025],[0.039725422246779336,41.654896838882365],[0.03976381052740279,41.654868829913084],[0.03980034640731491,41.65485428311925],[0.039848573366467556,41.654835081854316],[0.039941219385935034,41.6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Here starts second polygon
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]}}
saved as poly1.json
Is there any way to save them separately, I would like the final result to be an like this:
array = [coordinates of polygon 1], [coordinates of polygon 2] where in the case of using more polygons than in the example, they will be saved automatically without having to change the code, array = [coordinates of polygon 1], [coordinates of polygon 2],[coordinates of polygon 3] and so on.
So far i have this :
require 'rubygems'
require 'json'
file = File.read('poly1.json')
coordinates = JSON.parse(file)
string=coordinates.to_s[0...-4]
path = string.split"["
path.shift()
path.shift()
path.shift()
This just gets all coordinates from both polygons in path. But what i want is to get polygon 1 coordinates separated from polygon 2 coordinates and in a case where i use a 3 polygon file, to get it separated whit out doing manualy.
Sorry for my bad english, and if you need something else ask in comments.


Your example is quite big and therefore not easy to understand. But from key structure at the beginning of the file
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[ [[[0.03990083369766674,41.65117297365802], ...
it looks like the coordinates are a simple hash nested below the geometry key. Therefore I would try the following:
require 'rubygems'
require 'json'
file = File.read('poly1.json')
data = JSON.parse(file)
coordinates = data["geometry"]["coordinates"]
coordinates[0] #=> should now return the first coordonate from the array

Related

Plotting Polygons with Folium and Pyproj

I'm trying to plot the boundaries of the localities of Brussels. The system of coordinates of my json file has to be converted to a longlat system to display the Polygons on Folium maps. The issue I get is that my coordinates are projected into the Pacific ocean. I guess it is probably due to the fact that the parameters I set are not the good ones. Please find below my code:
import json
import pyproj
import folium
# Load JSON file
with open("districts.json", "r") as f:
data = json.load(f)
# Create a transformation object
in_proj = pyproj.Proj(proj='utm',zone=31,datum='WGS84')
out_proj = pyproj.Proj(proj='longlat',datum='WGS84')
# Transform the coordinates
features = data["features"]
for feature in features:
coords = feature["geometry"]["coordinates"][0]
coords = [pyproj.transform(in_proj, out_proj, coord[0], coord[1]) for coord in coords]
feature["geometry"]["coordinates"] = [coords]
# Plot the polyggon on a map
m = folium.Map()
folium.GeoJson(data).add_to(m)
m
This corresponds to how my json file is structured:
{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[152914.748398394,173305.19242333],[152947.4133984,173326.530423339],...,[152961.983398418,173225.325423267],[152914.748398394,173305.19242333]]]},...
(https://i.stack.imgur.com/SuU4Q.png)
(https://i.stack.imgur.com/oIKJN.png)
Does anyone has an idea how to solve this? How could I find the right parameters?
I tried different zones but I would rather know of to find the right zone number and understand how it works.

Superset & DECK.GL -- cannot display shaded polygons

I want to visualize Zip3 polygons, shaded by the population. I have GeoJSON formatted as text strings in a Snowflake table, and am able to visualize them using the "Deck.GL GEOJSON" map type, but not "Deck.GL Polygon", which is what I need.
I have tested the GeoJSON with geojson.io and they are valid.
This is a "Deck.GL Polygon" type and does not work (showing up blank, but with the Legend correctly displaying):
This is a "Deck.GL GEOJSON" type and which DOES work (but does not allow me to color it by population):
Any ideas how to shade these polygons in Superset?

Why do you need PolygonLayer instead of GeoJsonLayer? At the end GeoJsonLayer renders a SolidPolygonLayer
So, GeoJsonLayer = SolidPolygonLayer
One of the differences between rendering a GeoJsonLayer or SolidPolygonLayer is that, if your data is already a geojson format, you don't need to specify an accessor to tell deck.gl where your data coordinates are located (because internally interprets where those are => feature => geometry => coordinates)
I would go using a GeoJsonLayer, and then, for styling polygons, you will need to use getFillColor accessor like:
new GeoJsonLayer({
...,
getFillColor: ({ properties }) => {
if (properties.population > 1_000_000) {
return [255, 0, 0]
}
return [0, 255, 0]
}
})

Count coords dots in polygon

I would like to count the appearance of several dots in a prespecified polygons. I am loading the EU NUTS Region by
nuts = 'https://raw.githubusercontent.com/eurostat/Nuts2json/master/2016/4258/60M/nutsrg_2.json'
geo_json_nuts = json.loads(requests.get(nuts).text)
and I have a list of tuples or a DataFrame, which contains data as follows:
Index lon lat
0 -178.1328187 -14.3087256
1 -176.2036596 -13.3469813
2 -176.1720255 -13.2789922
3 -151.3381037 -22.4532474
4 -151.0331577 -16.7159449
... ... ...
Now I would like to match the lon/lat in the DataFrame to the Feature properties id contained in geo_json_nuts. Meaning if lon/lat is contained in one of the polygons in geo_json_nuts it should get the properties id, e.g. BE31 or AT32, etc.
Does anyone know how to handle this?
Thank you in advance!
Best regards
Alex

you can try to normalize your json file.
nuts = 'https://raw.githubusercontent.com/eurostat/Nuts2json/master/2016/4258/60M/nutsrg_2.json'
geo_json_nuts = json.loads(requests.get(nuts).text)
df = json_normalize(geo_json_nuts, 'features', ['coordinates'],
errors='ignore',
record_prefix='features_')
After this process, you will have a dataframe contains 'features_properties.id' for the id and the features_geometry.coordinates for the points.

Encog load CSV file with customized network

I want to load data from CSV file like this:
var format = new CSVFormat('.', ' ');
IVersatileDataSource source = new CSVDataSource(filename, false, format);
var data = new VersatileMLDataSet(source); ...
Then I have two options:
Use EncogModel
var model = new EncogModel(data);
model.SelectMethod(data, MLMethodFactory.TypeFeedforward); ...
Make own network
var network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, 11));
network.AddLayer(new BasicLayer(new ActivationSigmoid(), true, 8));
network.AddLayer(new BasicLayer(new ActivationTANH(), true, 5));
...
IMLDataSet trainingSet = new BasicMLDataSet(input, output);
I don't know how to set number of layers, neurons and activation functions with first option (Encog Model). All I get is some default feedforward network with one hidden layer only.
I don't know how can get easily input and output arrays separately for my own network (second option) from VersatileMLDataSet. I can get whole array (input + output), but there must be a way how to get only input array or output array.

I found answer in documentation (Encog Method & Training Factories, page 75), with EncogModel is possible customize network like this:
var methodFactory = new MLMethodFactory();
var method = methodFactory . Create(
MLMethodFactory .TYPEFEEDFORWARD,
”?:B−>SIGMOID−>4:B−>SIGMOID−>?”,
2,
1);
The above code creates a neural network with two input neurons and one
output neuron. There are four hidden neurons. Bias neurons are placed
on the input and hidden layers. As is typical for neural networks,
there are no bias neurons on the output layer. The sigmoid activation
function is used between both the input and hidden neuron, as well
between the hidden and output layer. You may notice the two question
marks in the neural network architecture string. These will be filled
in by the input and output layer sizes specified in the create method
and are optional. You can hard-code the input and output sizes. In
this case the numbers specified in the create call will be ignored.

How different colors to different sections of a route on leaflet map? [R Studio]

I have a JSON file of a long route. The file contains the lat and long of of this route.
I'm trying to mark different sections of this route based on a set of criteria (which I've compiled in a dataframe). However, I'm facing to problems:
1) How do I break up this long set of lat and longs into segments? (can't do this manually because I have many route variations)
2) How do I assign a variable color to each segment?
I intend to use leaflet map (for its interactivity), but I'm open to better suggestions.

When working with spatial data, it helps to know spatial classes! I am assuming you know hoe to read your JSON file as a data frame into R.
Here's a reproducible example:
library(mapview)
library(sp)
### create some random data with coordinates from (data("breweries91", package = "mapview"))
set.seed(123)
dat <- data.frame(val = as.integer(rnorm(32, 10, 2)),
lon = coordinates(breweries91)[, 1],
lat = coordinates(breweries91)[, 2])
### state condition for creation of lines
cond <- c(8, 9, 10)
### loop through conditions and create a SpatialLines object for each condition
lns <- lapply(seq(cond), function(i) {
ind <- dat$val == cond[i]
sub_dat <- dat[ind, ]
coords <- cbind(sub_dat$lon, sub_dat$lat)
ln <- coords2Lines(coords, ID = as.character(cond[i]))
proj4string(ln) <- "+init=epsg:4326"
return(ln)
})
### view lines with mapview
mapview(lns[[1]], col = "darkred") +
mapview(lns[[2]], col = "forestgreen") +
mapview(lns[[3]], col = "cornflowerblue")
Essentially, what we are doing here is create a valid sp::SpatialLines object for each condition we specify. The we plot those using mapview given you mentioned interactivity. Plotting of spatial objects can be achieved in many ways (base, lattice, ggplot2, leaflet, ...) so there's many options to choose. Have a look at sp Gallery for a nice tutorial.
Note: This answer is only valid for non-projected geographic coordinates (i.e. latitude/longitude)!