geopandas / scipy2018-geospatial-data Goto Github PK

I ran conda env create -f environment.yml on a new install of anaconda on a windows 7 machine and get the following errors:

1. Failed building wheel for rasterio
   Running setup.py clean for rasterio
   Failed to build rasterio
   mkl-random 1.0.1 requires cython, which is not installed.
   mkl-fft 1.0.0 requires cython, which is not installed.

2. ---

Command "c:\users\mlcobb\appdata\local\continuum\anaconda3\envs\scipygeo18\python.exe -u -c "import setuptools, tokenize;file='C:\Users\mlcobb\AppData\Local\Temp\pip-install-l_bqk9xw\rasterio\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record C:\Users\mlcobb\AppData\Local\Temp\pip-record-ccox88lp\install-record.txt --single-version-externally-managed --compile" failed with error code 1 in C:\Users\mlcobb\AppData\Local\Temp\pip-install-l_bqk9xw\rasterio\

CondaValueError: pip returned an error

Any help appreciated.
Thanks,
Mike

at the code cell:-Countries_mercator = countries.to_crs(epsg=3395) # or .to_crs({'init': 'epsg:3395'})
I had the following error.
RuntimeError: b'no arguments in initialization list'

libpysal and mapclassify no longer requires api module import

Hi,
I am following your data borrowing tutorial to calculate the spatial lag variable('price') with Gaussian kernel weight , it succeeded in find all the closest kW.neighbors but some rows did not get kW.weights, thus not all of the rows got the lag variable(price).

None of the rows of the coordinates geometries or price columns are nan or zero. So I am not sure what went wrong.

error are as follows:

/Users/xxx/miniconda3/lib/python3.6/site-packages/libpysal/weights/distance.py:645: RuntimeWarning: invalid value encountered in true_divide
  zi = np.array([dict(list(zip(ni, di)))[nid] for nid in nids]) / bw[i]
/Users/xxx/miniconda3/lib/python3.6/site-packages/libpysal/weights/weights.py:171: UserWarning: The weights matrix is not fully connected. There are 796 components
  warnings.warn("The weights matrix is not fully connected. There are %d components" % self.n_components)
/Users/xxx/miniconda3/lib/python3.6/site-packages/libpysal/weights/weights.py:171: UserWarning: The weights matrix is not fully connected. There are 796 components
  warnings.warn("The weights matrix is not fully connected. There are %d components" % self.n_components)

Here's the code:

lag_vars=['price']
kW = lp.weights.Kernel.from_dataframe(df.loc[:,lag_vars+['geometry']], fixed=False, function='gaussian', k=10)
kW = fill_diagonal(kW, 0)
kW.transform = 'r'
WX = lp.weights.lag_spatial(kW, df.loc[:,lag_vars])
WXtable = pd.DataFrame(WX, columns=['lag_{}'.format(name) for name in lag_vars])
fd_lag = pd.concat((df,WXtable),axis=1)

ImportError Traceback (most recent call last)
in ()
2
3 import pandas as pd
----> 4 import geopandas
5
6 pd.options.display.max_rows = 10

/anaconda3/lib/python3.7/site-packages/geopandas/init.py in ()
2 from geopandas.geodataframe import GeoDataFrame
3
----> 4 from geopandas.io.file import read_file
5 from geopandas.io.sql import read_postgis
6 from geopandas.tools import sjoin

/anaconda3/lib/python3.7/site-packages/geopandas/io/file.py in ()
1 import os
2
----> 3 import fiona
4 import numpy as np
5 import six

/anaconda3/lib/python3.7/site-packages/fiona/init.py in ()
81 os.environ["PATH"] = os.environ["PATH"] + ";" + libdir
82
---> 83 from fiona.collection import BytesCollection, Collection
84 from fiona.drvsupport import supported_drivers
85 from fiona.env import ensure_env_with_credentials, Env

/anaconda3/lib/python3.7/site-packages/fiona/collection.py in ()
7
8 from fiona import compat, vfs
----> 9 from fiona.ogrext import Iterator, ItemsIterator, KeysIterator
10 from fiona.ogrext import Session, WritingSession
11 from fiona.ogrext import (

ImportError: dlopen(/anaconda3/lib/python3.7/site-packages/fiona/ogrext.cpython-37m-darwin.so, 2): Library not loaded: @rpath/libkea.1.4.7.dylib
Referenced from: /anaconda3/lib/libgdal.20.dylib
Reason: image not found

Was checking the 05-mapclassification.ipynb notebook, and the output is still there. Do we want that the participants have a version that they still need to run to see the output, or already with the output included as it is now?

I tried to run the notebooks on binder, but on importing geopandas I get the following error

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-05f10f3f66de> in <module>()
      2 
      3 import pandas as pd
----> 4 import geopandas
      5 
      6 pd.options.display.max_rows = 10

/srv/conda/lib/python3.6/site-packages/geopandas/__init__.py in <module>()
      2 from geopandas.geodataframe import GeoDataFrame
      3 
----> 4 from geopandas.io.file import read_file
      5 from geopandas.io.sql import read_postgis
      6 from geopandas.tools import sjoin

/srv/conda/lib/python3.6/site-packages/geopandas/io/file.py in <module>()
      1 import os
      2 
----> 3 import fiona
      4 import numpy as np
      5 

/srv/conda/lib/python3.6/site-packages/fiona/__init__.py in <module>()
     67 from six import string_types
     68 
---> 69 from fiona.collection import Collection, BytesCollection, vsi_path
     70 from fiona._drivers import driver_count, GDALEnv
     71 from fiona.drvsupport import supported_drivers

/srv/conda/lib/python3.6/site-packages/fiona/collection.py in <module>()
      7 
      8 from fiona import compat
----> 9 from fiona.ogrext import Iterator, ItemsIterator, KeysIterator
     10 from fiona.ogrext import Session, WritingSession
     11 from fiona.ogrext import (

ImportError: /srv/conda/lib/python3.6/site-packages/fiona/../../.././libkea.so.1.4: undefined symbol: _ZNK2H58H5Object13openAttributeERKSs

This looks a bit similar to #16

I am searching ERDAS 2018 crack because of its numerical spatial model application which is not supporting previous version of ERDAS. Kindly someone please suggest me how to use new erdas 2018 crack version

I want to convert xml file to shape file making the attribute unchanged. I already tried in Qgis, but after converting into shape file, attribute which was present in the xml file is not visible in the attribute table of the shape file. kindly give some suggestions to convert xml to shape file maintaining the attribute unchanged.

The solution gives:

# %load _solved/solutions/case-trump-vote02.py
pres.crs = {'init':'epsg:4269'}
pres = pres.to_crs(epsg=5070)

Should that be 4326 instead of 4269 ?
Or at least it is not really clear where the participant should get the 4269 from

AttributeError: 'AxesSubplot' object has no attribute '_geom'

This would be to ensure that we can get people doing things, rather than just presenting the concepts.

The way I see it, we could add an exercise pretty quickly to the ESDA stuff.
Also, may want to consider data that's actually binary for the jointcount stuff. I was thinking that a good one in the airbnb data (I use it for another context) is "shortstay" vs. "longstay" neighborhoods, based on whether or not the mode "minimum nights" for listings in a neighborhood is larger than one night.

Also blends nicely to multi-join counts, but we don't have those implemented directly iirc... I just used it with simulations & chi-squared.

So:

• Exercises for esda
• Exercises for data borrowing:
  • student fits a novel model on the data
  • student checks if lag works better than nearest k features
  • student checks if distance-to-other-feature works better than a fixed effect
  • student checks if the residuals are correlated using ESDA stuff, map, & LM test.

geopandas failed to install. I manually did with conda and when I try to import get this

In [1]: import geopandas

ImportError Traceback (most recent call last)
in ()
----> 1 import geopandas

~\AppData\Local\Continuum\anaconda3\envs\scipygeo18\lib\site-packages\geopandas_init_.py in ()
2 from geopandas.geodataframe import GeoDataFrame
3
----> 4 from geopandas.io.file import read_file
5 from geopandas.io.sql import read_postgis
6 from geopandas.tools import sjoin

~\AppData\Local\Continuum\anaconda3\envs\scipygeo18\lib\site-packages\geopandas\io\file.py in ()
1 import os
2
----> 3 import fiona
4 import numpy as np
5

~\AppData\Local\Continuum\anaconda3\envs\scipygeo18\lib\site-packages\fiona_init_.py in ()
67 from six import string_types
68
---> 69 from fiona.collection import Collection, BytesCollection, vsi_path
70 from fiona._drivers import driver_count, GDALEnv
71 from fiona.drvsupport import supported_drivers

~\AppData\Local\Continuum\anaconda3\envs\scipygeo18\lib\site-packages\fiona\collection.py in ()
7
8 from fiona import compat
----> 9 from fiona.ogrext import Iterator, ItemsIterator, KeysIterator
10 from fiona.ogrext import Session, WritingSession
11 from fiona.ogrext import (

ImportError: DLL load failed: The operating system cannot run %1.

this'll avoid terminological conflicts we encountered at geopython with referring to the "neighboring neighborhoods" or neighborhood of the neighborhood.

If we call these polygons districts, then we can clearly discuss districts & the surrounding neighborhood of the district.

I have download the scipy2018-geospatial-data-master/scipy2018-geospatial-data-master/08-clustering.ipynb

but thre is something wrong, POLYGON ((inf ...inf):
district = gpd.read_file('./data/berlin-districts.geojson').to_crs(epsg=3857)
district.head(10)

district	district_group	median_price	geometry
0	Blankenfelde/Niederschönhausen	Pankow	37.5	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
1	Helmholtzplatz	Pankow	58.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
2	Wiesbadener Straße	Charlottenburg-Wilm.	50.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
3	Schmöckwitz/Karolinenhof/Rauchfangswerder	Treptow - Köpenick	99.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
4	Müggelheim	Treptow - Köpenick	25.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
5	Biesdorf	Marzahn - Hellersdorf	35.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
6	Nord 1	Reinickendorf	31.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
7	West 5	Reinickendorf	50.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
8	Frankfurter Allee Nord	Friedrichshain-Kreuzberg	42.0	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...
9	Buch	Pankow	57.5	(POLYGON ((inf inf, inf inf, inf inf, inf inf,...

and the plot is nothing