Skip to content

GISNOTE

  • Search

GISNOTE

  • Search
Pictures of the 52 playing cards

  RECALL: ATTRIBUTE QUERY OPERATORS – AND, OR GIS Data Layer: LayerName: PlayingCards Description: There are 52 polygons; each polygon has one record in the attribute table Fields in the attribute table: SUITE: club, spade, heart, diamond COLOR: red, black FACECARD: yes, no VALUE: 1 – 13 (ace = 1, […]

Select By Location v. Topological Operators

Image result for terrestrial lidar

Lab 9 Data Link (clp_tls.laz).  This is a large dataset, have patience!!!  The “LAZ” file is a common point cloud file format storage type.  You read a LAZ the same way you read a LAS – you process it using the same approach. See the LAND USE, CARBON & EMISSION […]

Terrestrial Lidar Analysis in R [updated on 2/2/21]

CSV to Shapefile in R

  #####Code based on https://erinbecker.github.io/r-raster-vector-geospatial/10-vector-csv-to-shapefile-in-r/index.html #####load libraries library("sf") library("raster") #####Set working path, input text file name, output shapefile name mypath<- "~/r-docker-tutorial/lIlk" myfile<- "20201015_1130wetland8.TXT" outfile<- "emi_20201015_1130wetland8.shp" #####Read CSV into a data frame named mydat mydat<- read.csv(file.path(mypath,myfile), na.strings = "NA") nrow(mydat) #####Remove all rows whose longitude value is NA mydat<- subset(mydat, !is.na(mydat$WGS84_LON)) […]

CSV to Shapefile in R

How-To Notebook Part II

  For the second part of your How-To notebook, you will design, execute, assess, revise and repeat a spatial analysis component of your research project.  Specifically, I want you to: Identify one spatial analysis component of your research project; those of you working on a non-thesis degree, find a project […]

How-To Notebook Part II

Revised R code for catalog processing

This R script allows the user to process multiple LAS/LAZ files at once using the catalog functionality of the lidR library.  If you look closely, this and the R code from Monday are almost identical.  Line 12, here, we create a LAS catalog instead of reading in an individual LAS […]

Revised R code for catalog processing

Little bit of R code for LiDAR

Using LAZ point cloud linked on our eLC site #####Processing 1 LAZ file. Will generate slope, aspect, and hillshade images; normalize the point cloud; create #####canopy height model and a custom metric #####Save the #####might need to install libraries #####install.packages(lidR) library(lidR) library(rgdal) library(future) plan(multisession, workers = 4L) #####Setting my working […]

Little bit of R code for LiDAR

Data: October 13, 2020 Sentinel-2 image (eLC Link) December 18, 2019 Sentinel-2 image (eLC Link) Toolbox (extract the Toolbox.tbx and copy it to your working directory) (eLC Link) Sentinel-2 Satellite Imagery: Instructions for download from USGS Earth Explorer (eLC Link) Data delivered as single-band rasters Sentinel-2 band information 10 meter […]

Unsupervised Image Classification (ISOdata classification)

Wednesday, you decided that the GEOID field in the Census’ congressional district shapefile is an appropriate common identifier. I agree, this is a good choice. It is a combination of the state FIPS and the congressional district FIPS. Keep in mind, this should be a four-character code. The data we […]

Joining EVALIDator results to congressional district shapefile

Forest Inventory and Analysis Program (FIA) Background: The Forest Inventory and Analysis (FIA) Program of the U.S. Forest Service provides the information needed to assess America's forests. As the Nation's continuous forest census, our program projects how forests are likely to appear 10 to 50 years from now. This enables […]

FIA EVALIDator Queries

  OCONEE FOREST PARK (Lake Herrick):  DATA DOWNLOAD LINK  Here is the scenario:  You have been asked to compile preliminary data for the Oconee Forest Park for an upcoming project.  In the download above, you are provided three datasets: Lake_Herrick_Depths.csv: Lake depths captured with a Lowrance fish finder.  XY coordinates […]

Mapping tabular data (Event Themes)

© 2025 GISNOTE – All rights reserved

Powered by WP – Designed with the Customizr theme