Skip to main content

A Geospatial Python Package for Field Researchers

Project description



PyPI PyPI - Python Version PyPI - License

A Geospatial Python Package for Field Researchers

Owlet and EGF: Developed for Field Researchers

Owlet is a Python library for interacting with and mapping EGF files.

EGF, or Exact Geometry Format, is a file structure designed specifically for recording geo-data without traditional GIS software. An EGF file contains all of the necessary components required to define geospatial features— without overcomplicating it.

EGF File Example

Overview

An EGF file is comprised of three sections:

  1. A Feature Type Declaration (point, line, polygon)
  2. Attribute Headers
  3. Features: attributes & coordinate sets

Example EFG file containing two placemarks:

PT



Park Name, City, Pond, Fountain



Post office Square, Boston, FALSE, TRUE
42.356243, -71.055631, 2



Boston Common, Boston, TRUE, TRUE
42.355465, -71.066412, 10

In an EGF file, each section / feature is separated by three blank lines and the file ends with a single blank line.

An EGF file is a '.txt' file renamed to '.egf'

Full EGF Documentation

Installing Owlet

To install owlet, type one of the following commands into the terminal or command line

Windows
>>> py -m pip install owlet
MacOS / Linux
>>> pip3 install owlet

Using Owlet

To begin, save the EGF file example above to your computer as BostonParks.egf using a text editor such as Notepad.

Once the EGF file is saved, create a new Python file and import Owlet.

When writing a new Python file, begin by importing Owlet.

import owlet

Reading an EGF file

To read an EGF file, begin by saving the path of the EGF file to a variable in your python script.

Then pass the variable that hold the EGF file's path to the read_egf() function. Since the read_egf() function is a part of the Owlet Python package, the function is called by typing owlet. before the function name - e.g. owlet.read_egf()

Below, the EGF file is loaded and saved to a variable named my_shape.

in_file = "path/to/file/BostonParks.egf"

my_shape = owlet.read_egf(in_file)

If the file path is short, it may be easier to pass the path directly in to the function like in the example below. For longer paths, it is neater to save the path to a variable.

my_shape = owlet.read_egf("folder/BostonParks.egf")

Visualizing an EGF file

To visualize my_shape, call the visualize() function and pass my_shape to it.

owlet.visualize(my_shape)

Upon visualize() being executed, the computer's default web browser will open and provide a preview of my_shape using the webpage geojson.io

Both points from the EGF file are displayed on the map after running owlet.visualize(my_shape)

EGF Point Visualization

EGF Files also support linestrings for mapping paths

EGF Linestring Visualization

Polygons are also supported by EGF

EGF Polygon Visualization

Converting an EGF File to Other Formats

To interact with the data from an EGF file outside of Owlet, the data can be exported to a different format. Owlet offers a few different export options.

GeoJSON

To use the EGF data with other GIS software packages, Owlet provides a GeoJSON export option.

To export data in GeoJSON format, first save the export file path to a variable. (Notice that the new file's name and file extension are included in the path.)

Then call the function write_geojson() and pass it the path of the file to be created as well as the variable that holds the EGF geometry.

out_file = "folder/MyShape.json"

owlet.write_geojson(out_file, my_shape)

Upon write_geojson() being executed, a .json file will be created at the location specified by the path defined by the out_file variable. The new GeoJSON file can be loaded, viewed, and manipulated by many common GIS programs.

Loading GeoJSON into Owlet

in_file = "path/to/file/MyShape.json"

my_shape = owlet.read_geojson(in_file)

Note: Owlet has the ability to read GeoJSON files where each feature is of the same geometry type and every feature is contained within a "FeatureClass" (QGIS exports GeoJSON files in this format). Owlet supports Point, LineString, and Polygon GeoJSON features only. A GeoJSON file may have either .json or .geojson as its file extension.

Reading an EGF file and Writing it to a GeoJson File - Complete Script

import owlet

in_file = "path/to/file/BostonParks.egf"
out_file = "folder/MyShape.json"

my_shape = owlet.read_egf(in_file)

owlet.write_geojson(out_file, my_shape)

CSV

To view/manipulate an EGF file in as a table, the write_csv() function can be used in the same way as the write_geojson() function.

To export data in CSV format, first save the export file path to a variable. (Notice that the new file's name and file extension are included in the path.)

Then call the function write_csv() and pass it the path of the file to be created as well as the variable that holds the EGF geometry.

out_file = "folder/MyShape.csv"

owlet.write_csv(out_file, my_shape)

The resulting CSV file will match the table below:

Park Name City Pond Fountain GEOMETRY_PT
Post office Square Boston FALSE TRUE [-71.055631, 42.356243, 2.0]
Boston Common Boston TRUE TRUE [-71.066412, 42.355465, 10.0]

When saved as a CSV file and opened with an appropriate program, the data can be filtered, new attributes can be added, and existing attributes can be edited.

For example, a State attribute could be added to each record of the table.

Park Name City State Pond Fountain GEOMETRY_PT
Post office Square Boston MA FALSE TRUE [-71.055631, 42.356243, 2.0]
Boston Common Boston MA TRUE TRUE [-71.066412, 42.355465, 10.0]

As long as the GEOMETRY_PT column is not manipulated, the CSV file can be loaded back in to Owlet.

Loading CSV into Owlet

in_file = "path/to/file/MyShape.csv"

my_shape = owlet.read_csv(in_file)

To see that the changes made to the table have been reflected in Owlet, use the print() function.

print(my_shape)

Which will print out:

'PT' GCA object containing 2 feature(s) with the following attributes: ['Park Name', 'City', 'State', 'Pond', 'Fountain']

The above line reveals that my_shape is a PT (Point) file that contains 2 features that each have Park Name, City, State, Pond, and Fountain as attributes. "GCA object" refers to the internal format that Owlet uses to store geometry.

Reading an EGF file and Writing it to a CSV File - Complete Script

import owlet

in_file = "path/to/file/BostonParks.egf"
out_file = "folder/MyShape.csv"

my_shape = owlet.read_egf(in_file)

owlet.write_csv(out_file, my_shape)

Google Earth KML

Owlet can also write KML files for use with Google Earth. Owlet leverages the KML format's "ExtendedData" feature which makes Owlet's KMLs import cleanly into QGIS.

The write_kml() function takes multiple arguments:

  1. Path of file to write
  2. EGF to write (the variable that an EGF file is saved to)
  3. Title of the attribute column that contains the attributes that the features should be named with
  4. Name of folder within KML file that will contain the features of the EGF file
  5. Folder description (optional)
  6. Altitude mode (optional)

Optional arguments do not need to be defined in order for a KML to be produced.

Owlet accepts three types of altitude modes:

  • 'ctg' short for Clamped to Ground. Elevation values are ignored and all features are displayed at ground level.
  • 'rtg' short for Relative to Ground. Elevation values are rendered as "x" meters above the ground below.
  • 'abs' short for Absolute. Elevation values are rendered as "x" meters above mean sea level.

The default altitude mode is ctg

Write a KML file by only providing the required arguments

out_file = "folder/MyShape.kml"

owlet.write_kml(out_file, my_shape, 'Park Name', 'Parks')

Adding a Folder Description

out_file = "folder/MyShape.kml"

owlet.write_kml(out_file, my_shape, 'Park Name', 'Parks', 'Parks near Downtown Boston')

Changing the Altitude Mode

out_file = "folder/MyShape.kml"

owlet.write_kml(out_file, my_shape, 'Park Name', 'Parks', altitude_mode='rtg')

Providing all KML Arguments

out_file = "folder/MyShape.kml"

owlet.write_kml(out_file, my_shape, 'Park Name', 'Parks', 'Parks near Downtown Boston', 'rtg')

Reading an EGF file and Writing it to a KML File - Complete Script

import owlet

in_file = "path/to/file/BostonParks.egf"
out_file = "folder/MyShape.kml"

my_shape = owlet.read_egf(in_file)

owlet.write_kml(out_file, my_shape, 'Park Name', 'Parks', 'Parks near Downtown Boston', 'rtg')

EGF

Owlet will also export to EGF.

out_file = "folder/MyShape.egf"

owlet.write_egf(out_file, my_shape)

   

Owlet License: GNU GPLv3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

owlet-0.8.3.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

owlet-0.8.3-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file owlet-0.8.3.tar.gz.

File metadata

  • Download URL: owlet-0.8.3.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for owlet-0.8.3.tar.gz
Algorithm Hash digest
SHA256 ac3fd161459e31b073a6e3c33ee6d61928e17d2587647f89505b00def8ff6c05
MD5 78b962ec292a373aabc93289c3c5241a
BLAKE2b-256 2cf8aa4341342db59470e64047694f07f349fd0e5057a15c0bea8dbaaaf8172f

See more details on using hashes here.

File details

Details for the file owlet-0.8.3-py3-none-any.whl.

File metadata

  • Download URL: owlet-0.8.3-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for owlet-0.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 fde3ac6ffa1d56adf6857534a5a757e00c944b67b94e46250f18023e07c9816a
MD5 0f17b2f419b85b7db27ae0ccf56ff790
BLAKE2b-256 2bf1edc96b4e4cc88d649dd5e0b89be720b1a326e163acf68425e5601330d92d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page