Comments (2)
Thank you @lheagy. The installation failed because of a typo in the installation instructions. Many thanks to @reedanders, who has noticed it. I have also added alternative installation instructions to the README file.
Gdal, pyproj, rtree and numpy are not included in the requirements file, because of version clashes during conda installation (pygdal does not recognize the available gdal versions).
Unfortunately I have no glue which machine specs are required. Packages for Windows (64 bit) and Linux (64 bit) have been prepared with conda. I assume, also 32 bit and Mac should work, but in the moment I have no chance to test it. Thus, also a conda recipe is provided to be able to compile a package on your own.
from pyoints.
Thanks for clarifying @laempy, this looks good.
from pyoints.
Related Issues (12)
- pygdal version HOT 1
- [JOSS-REVIEW] Installation instructions HOT 2
- [JOSS-REVIEW] Community guidelines missing HOT 1
- [JOSS-REVIEW] Missing DOI in reference list HOT 1
- [JOSS-REVIEW] Citations in paper.md HOT 1
- Tolerances too narrow in some tests HOT 1
- JOSS review - paper citations HOT 3
- JOSS Review - examples / getting started HOT 2
- add GeoTIFF LAS support
- about [python] Test HOT 1
- Syntax error
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pyoints.