The Computational Lab for Advanced Water Resources Informatics and Modeling https://clawiki.isnew.info/ 2026-04-22T00:20:40+00:00 https://clawiki.isnew.info/ https://clawiki.isnew.info/_media/wiki/logo.png text/html 2026-03-11T01:27:51+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/start?rev=1773192471&do=diff Welcome to CLAWRIM Wiki The Computational Lab for Advanced Water Resources Informatics and Modeling (CLAWRIM) is Dr. Huidae Cho's research group in the Department of Civil Engineering at New Mexico State University (NMSU). Their research focuses on the broad applications of Geographic Information Systems (GIS) and computational methods to water resources informatics and modeling. They use this wiki site to share project information and document their research for internal collaboration. Check <… text/html 2024-07-21T15:03:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/academic_opportunities/2021?rev=1721574194&do=diff 2021 academic opportunities ASABE 2021 International Symposium on Soil Erosion Research under a Changing Climate * <https://www.asabe.org/21SoilErosion> * Abstracts due by Saturday, February 15, 2020 * Sunday, January 10--Friday, January 15, 2021 * Punta Borinquén Resort, Aguadilla, Puerto Rico text/html 2026-04-21T23:19:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/links?rev=1776813545&do=diff Links * Web 3D Representation of a MODFLOW Model with Hataripy, Paraview and Steno3D * LET IT RAIN - A Poisson Cluster Stochastic Rainfall Generator * Missouri Water Information System * Citation/Acknowledgement Language for NMSU HPC * QR Code generator library * Neural Networks and Deep Learning * First neural network for beginners explained (with code) * Title Case Converter text/html 2025-09-10T00:44:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/wiki/syntax?rev=1757465058&do=diff Formatting Syntax DokuWiki supports some simple markup language, which tries to make the datafiles to be as readable as possible. This page contains all possible syntax you may use when editing the pages. Simply have a look at the source of this page by pressing text/html 2024-10-23T02:41:33+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/data_sources?rev=1729651293&do=diff Data sources NOAA * National Centers for Environmental Information (NCEI) Web Services * Climate Data Online (CDO): Web Services Documentation * GHCN (Global Historical Climatology Network) - Daily Documentation * 1981-2010 Annual Normals Documentation * National Environmental Satellite, Data, and Information Service (NESDIS) Notice of Changes Lynker Spatial * CONUS cross sections by HUC2 text/html 2020-07-21T01:47:39+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/journals?rev=1595296059&do=diff Journals Web of Science Master Journal List Do not publish your work in any journals not indexed in this list. Also, try to avoid open-access-only journals even if they are indexed with a high impact factor because it is usually expensive to publish there and many academics do not take them seriously. In many cases, their impact factors are high just because they are open access and free to read. text/html 2026-04-09T06:35:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/howtos/how_to_install_hec-ras_on_linux?rev=1775716535&do=diff How to install HEC-RAS on Linux Login to the Linux machine. In this example, we use NMSU's Discovery node discovery-l2: # connect to the NMSU network using either Wi-Fi or VPN ssh NMSU_username@discovery-l2 # type your NMSU password Download the text/html 2024-08-04T05:06:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/projects/open_source_canopy_classification?rev=1722747968&do=diff Open source canopy classification Workspace [Downtown Atlanta, GA classified] This project is parallel research to the GFC canopy assessment by Owen Smith for Dr. Cho's GISC 4903 - Special Topics in GIS . Its focus is on creating an open source canopy classification system designed specifically to utilize NAIP imagery within an efficient Python module built on Scikit-learn, GDAL, and text/html 2025-09-10T00:44:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/wiki/welcome?rev=1757465058&do=diff Welcome to your new DokuWiki Congratulations, your wiki is now up and running. Here are a few more tips to get you started. Enjoy your work with DokuWiki, -- the developers Create your first pages Your wiki needs to have a start page. As long as it doesn't exist, this link will be red: text/html 2024-08-04T05:06:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/software/canopy/start?rev=1722747968&do=diff CanoPy CanoPy GitHub repository CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). To learn how to use this module, please read the CanoPy user manual and CanoPy tutorial. For technical details, refer to the CanoPy technical manual. Introduction We developed this module to conduct the Georgia statewide canopy analysis study using the 2009 text/html 2024-08-04T04:43:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://clawiki.isnew.info/software/canopy/technical_manual?rev=1722746586&do=diff CanoPy technical manual CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For further information about this project, please refer to the CanoPy page. This document outlines the uses and methodology of the functions contained within the CanoPy module. To learn how to use this module, please read the