Learning Geospatial Analysis with Python, 3rd Ed.

Third Edition is on the shelves! Geospatial concepts, Geo-python universe, and pound-for-pound still the most pure-python and minimal-dependency examples you’ll find anywhere so somebody somewhere out there will still be able to do the math.  I'm giving away a few eBook versions if you're willing to write a review on Amazon. DM me @SpatialPython with your name and email! https://bit.ly/35gm0xl

PotreeConverter Mac Binary

Potree is the amazing javascript WebGL library that can effortlessly display multi-million-point lidar

point clouds in a browser using a static web page.  In order to do that, you have to use PotreeConverter which creates an efficient octree of your LAS file.  But the MacOS built-in compilers with XCode are usually several generations behind and don't like the PotreeConverter source. I was finally able to get it to compile so I created a GitHub repository with the binary and the compile steps.  You still need to download the "resources" directory from the original PotreeConverter repository which contains the viewer webpage template. You may also have to deal with issue https://github.com/potree/PotreeConverter/issues/281 but it's an easy fix.  I have no idea how portable the binary is, but hopefully the compile steps will save time for others. 

Creating MultiPoint Shapefiles with PyShp

Pyshp let's you create any type of shapefile.  Normally a point shapefile has one point per record.  But

Photo credit: VancouverMom.ca

you can also have a group of points tied to a single record in a Multipoint shapefile.  To create a Multipoint shapefile, you just use the "poly" method in the Writer. The poly method isn't just for polygons. It can also create polylines and polypoints (i.e. MultiPoints)!

Here's a simple Multipoint shapefile:

import shapefile

# Create our writer as a multipoint shapefile
w = shapefile.Writer(shapefile.MULTIPOINT)

# We'll create a single dbf field
w.field("NAME","C",40)

# Create a single-part, multi-point shape 
# by declaring the shape
# type after the parts/points list
w.poly([[[3,4],[5,6],[7,8],[9,8]]], shapeType=shapefile.MULTIPOINT)

# Create a record for this feature
w.record("Group1")

# Save the multipoint shapefile
w.save("mpoint")

Repeat the poly and record steps to add additional shapes. Add another nested list of points in the first poly method argument to add more parts to the same record

QGIS Python Programming Cookbook - SECOND EDITION

The second edition of the "QGIS Python Programming Cookbook" is out today from Packt Publishing!  And after my second publishing experience writing about QGIS, I can enthusiastically say it is one of the greatest open source projects, GIS software, and Python APIs out there.  It really sets a standard for quality software development.  GIS is a tool that helps people make better decisions to make the world a better place, and QGIS puts that potential in more people's hands than any other GIS software.

As with all of my books, I've tried to walk a very tricky line. I created a QGIS Python book reference book that will stand on its own if it's the only book you have.  But I also try to create content that is very different from the official documentation and book, as well as complement other third-party books out there.  QGIS is rich enough,
and updated and released with such frequency, that I don't think one book can do it justice.  While many operations in QGIS are straight-forward and easy to understand, some things can be quite complex.  For example, the Map Composer, raster operations, tinkering with various types of settings, and working with plug-ins through Python can be more difficult to understand.  And having more than one example from different sources can be invaluable in software development.  So I carefully picked examples and explanations that I felt were not easily found on the Internet for the most part, lacked documentation, or were complex enough that the over 170 examples should enrich your knowledge of QGIS regardless of you're starting from. At the very least, I hope it encourages more people to use my favorite GIS package.

Cutting a Line Shapefile with a Point Shapefile using Shapely

Shapely works with geometric classes.  Sometimes you want those geometries to come from

shapefiles.  That's where PyShp comes in.  In this example on GIS Stack Exchange, we take a line shapefile and a point shapefile with points on or near the line segments, and split those lines at the location of the nearest point.  At a minimum, the point must be inside the envelope of the line segment:

http://gis.stackexchange.com/questions/214344/split-polyline-shapefile-using-python-with-point-shapefile/214432#214432