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Kangyu Wang
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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]] |
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GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]] |
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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["degree",0.0174532925199433]] |
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PROJCS["ETRS89_LAEA_Europe",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137,298.257222101]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["latitude_of_origin",52],PARAMETER["central_meridian",10],PARAMETER["false_easting",4321000],PARAMETER["false_northing",3210000],UNIT["Meter",1]] |
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# -*- coding: utf-8 -*- | ||
""" | ||
Created on Wed Nov 6 19:45:54 2019 | ||
@author: kangyuwang | ||
""" | ||
from shapely.geometry import Point, LineString, Polygon | ||
def createPointGeom(x_coord, y_coord): | ||
point=Point(x_coord, y_coord) | ||
return point | ||
def createLineGeom(list_point): | ||
linestring=LineString(list_point) | ||
return linestring | ||
def createPolyGeom(x): | ||
if type(x[0])==tuple: | ||
polygon=Polygon(x) | ||
if type(x[0])==Point: | ||
polygon=Polygon([(p.x, p.y) for p in x]) | ||
return polygon | ||
createPolyGeom(input2) |
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# -*- coding: utf-8 -*- | ||
""" | ||
Created on Wed Nov 6 20:47:11 2019 | ||
@author: kangyuwang | ||
""" | ||
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import pandas as pd | ||
import statistics as sta | ||
from shapely.geometry import Point, LineString | ||
data = pd.read_csv('C:/Users/kangyuwang/OneDrive/portfolio/python_geo/Excercise 1/travelTimes_2015_Helsinki.txt', sep=";", header = 0) | ||
data['from_id'] | ||
coords=data.loc[:, ['from_x', 'from_y', 'to_x', 'to_y']] | ||
orig_points=[Point(coords.iloc[n, 0], coords.iloc[n, 1]) for n in range(0, coords.shape[0])] | ||
dest_points=[Point(coords.iloc[n, 2], coords.iloc[n, 3]) for n in range(0, coords.shape[0])] | ||
lines=[LineString([orig_points[i], dest_points[i]]) for i in range(0, coords.shape[0])] | ||
sta.mean(lines[i].length for i in range(0, coords.shape[0])) |
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# -*- coding: utf-8 -*- | ||
""" | ||
Created on Wed Nov 6 20:12:58 2019 | ||
@author: kangyuwang | ||
""" | ||
from shapely.geometry import Point, LineString, Polygon | ||
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def getCentroid(x): | ||
return x.centroid | ||
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def getArea(x): | ||
return x.area | ||
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def getLength(x): | ||
if type(x)==LineString: | ||
return x.length | ||
if type(x)==Polygon: | ||
return x.exterior.length | ||
else: | ||
raise Error("Error: LineString or Polygon geometries required!") | ||
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# -*- coding: utf-8 -*- | ||
""" | ||
Created on Sat Nov 9 22:37:02 2019 | ||
@author: kangyuwang | ||
""" | ||
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import geopandas as gpd | ||
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from shapely.geometry import Polygon | ||
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import matplotlib.pyplot as plt | ||
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# X -coordinates | ||
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xcoords = [29.99671173095703, 31.58196258544922, 27.738052368164062, 26.50013542175293, 26.652359008789062, 25.921663284301758, 22.90027618408203, 23.257217407226562, | ||
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23.335693359375, 22.87444305419922, 23.08465003967285, 22.565473556518555, 21.452774047851562, 21.66388702392578, 21.065969467163086, 21.67659568786621, | ||
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21.496871948242188, 22.339998245239258, 22.288192749023438, 24.539581298828125, 25.444232940673828, 25.303749084472656, 24.669166564941406, 24.689163208007812, | ||
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24.174999237060547, 23.68471908569336, 24.000761032104492, 23.57332992553711, 23.76513671875, 23.430830001831055, 23.6597900390625, 20.580928802490234, 21.320831298828125, | ||
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22.398330688476562, 23.97638702392578, 24.934917449951172, 25.7611083984375, 25.95930290222168, 26.476804733276367, 27.91069221496582, 29.1027774810791, 29.29846954345703, | ||
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28.4355525970459, 28.817358016967773, 28.459857940673828, 30.028610229492188, 29.075136184692383, 30.13492774963379, 29.818885803222656, 29.640830993652344, 30.57735824584961, | ||
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29.99671173095703] | ||
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# Y -coordinates | ||
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ycoords = [63.748023986816406, 62.90789794921875, 60.511383056640625, 60.44499588012695, 60.646385192871094, 60.243743896484375, 59.806800842285156, 59.91944122314453, | ||
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60.02395248413086, 60.14555358886719, 60.3452033996582, 60.211936950683594, 60.56249237060547, 61.54027557373047, 62.59798049926758, 63.02013397216797, | ||
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63.20353698730469, 63.27652359008789, 63.525691986083984, 64.79915618896484, 64.9533920288086, 65.51513671875, 65.65470886230469, 65.89610290527344, 65.79151916503906, | ||
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66.26332092285156, 66.80228424072266, 67.1570053100586, 67.4168701171875, 67.47978210449219, 67.94589233398438, 69.060302734375, 69.32611083984375, 68.71110534667969, | ||
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68.83248901367188, 68.580810546875, 68.98916625976562, 69.68568420410156, 69.9363784790039, 70.08860778808594, 69.70597076416016, 69.48533630371094, 68.90263366699219, | ||
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68.84700012207031, 68.53485107421875, 67.69471740722656, 66.90360260009766, 65.70887756347656, 65.6533203125, 64.92096710205078, 64.22373962402344, 63.748023986816406] | ||
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# P1. Create a list of x and y coordinate pairs out of xcoords and ycoords | ||
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# ------------------------------------------------------------------------ | ||
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# Coordinate pair can be either a tuple or a list. | ||
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# The first coordinate pair in the 'coordpairs' -list should look like: (29.99671173095703, 63.748023986816406) | ||
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# Hint: you might want to iterate over items in the lists using a for-loop | ||
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coordpairs = [(xcoords[i], ycoords[i]) for i in range(len(xcoords))] | ||
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# P2. Create a shapely Polygon using the 'coordpairs' -list | ||
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# ------------------------------------------------------------------------ | ||
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poly =Polygon(coordpairs) | ||
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# P3. Create an empty GeoDataFrame | ||
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# --------------------------------- | ||
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geo =gpd.GeoDataFrame() | ||
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# P4. Insert our 'poly' -polygon into the 'geo' GeoDataFrame using a column name 'geometry' | ||
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# ------------------------------------------------------------------------------------------ | ||
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# Hint: Take advantage of .loc -funtion | ||
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geo.loc[0,'geometry']=poly | ||
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# P5. Save the GeoDataFrame into a new Shapefile called 'polygon.shp' | ||
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# -------------------------------------------------------------------- | ||
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# Note: you do not need to define the coordinate reference system at this time | ||
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geo.to_file("C:/Users/kangyuwang/OneDrive/portfolio/python_geo/Excercise 2/polygon.shp") | ||
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# P6. Plot the polygon using taking advantage of the .plot() -function in GeoDataFrame. Save a PNG figure out of your plot and upload it to your GitHub repository. | ||
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# ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | ||
geo.plot() | ||
plt.title("Map of Finland: WSG84") | ||
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# -*- coding: utf-8 -*- | ||
""" | ||
Created on Sat Nov 9 22:58:13 2019 | ||
@author: kangyuwang | ||
""" | ||
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import pandas as pd | ||
from shapely.geometry import Point, LineString, Polygon | ||
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data=pd.read_csv("C:/Users/kangyuwang/OneDrive/portfolio/python_geo/Excercise 2/some_posts.csv") | ||
data['geometry']=None | ||
for index, row in data.iterrows(): | ||
data.loc[index, 'geometry']=Point(row['lat'], row['lon']) | ||
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import geopandas as gpd | ||
from fiona.crs import from_epsg | ||
import matplotlib.pyplot plt | ||
data_gdf=gpd.GeoDataFrame(data) | ||
data_gdf.crs=from_epsg(4236) | ||
data_gdf.to_file("C:/Users/kangyuwang/OneDrive/portfolio/python_geo/Excercise 2/Kruger_posts.shp") | ||
data_gdf.plot() | ||
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data_gdf_proj=data_gdf.to_crs(epsg=32735) | ||
data_gdf_proj_grp=data_gdf_proj.groupby('userid') | ||
movements=gpd.GeoDataFrame() | ||
for key, values in data_gdf_proj_grp: | ||
values_sort=values.sort_values(by=['timestamp']) | ||
if len(values_sort.index)>1: | ||
line=LineString((values_sort.loc[values_sort.index[i], 'lat'], values_sort.loc[values_sort.index[i], 'lon']) for i in range(len(values_sort.index))) | ||
movements=movements.append(pd.DataFrame(data={'geometry': [line], 'userid': [key], 'distance': line.length}), ignore_index=True) | ||
else: | ||
movements=movements.append(pd.DataFrame(data={'geometry': None, 'userid': [key], 'distance':None}), ignore_index=True) | ||
movements_gdf=gpd.GeoDataFrame(movements) | ||
movements_gdf.to_file("C:/Users/kangyuwang/OneDrive/portfolio/python_geo/Excercise 2/Some_movements.shp") | ||
##answers to question | ||
movements.loc[: ,'distance'].mean() | ||
movements.loc[: ,'distance'].max() | ||
movements.loc[: ,'distance'].min() |
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GEOGCS["Hu Tzu Shan 1950",DATUM["D_Hu_Tzu_Shan",SPHEROID["International_1924",6378388,297]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]] |
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