R getdata inland water how to#

We can now plot province colored by prevalence. # 1 ДЂddД«s ДЂbaba|Addis Ababa|Adis-Abeba|ДЂdД«s ДЂbeba Astedader City # 4 Benshangul-Gumaz ETH Ethiopia ETH.4_1 To identify the Province each point lies within you can use the over function from the sp package # Get the point prevalence data from the GitHub repo ETH_malaria_data <- read.csv ( '', header = T ) # Convert to a SPDF ETH_malaria_data_SPDF <- SpatialPointsDataFrame ( coords = ETH_malaria_data, data = ETH_malaria_data, proj4string = CRS ( '+init=epsg:4326' )) To illustrate this, we are going to use the Ethiopia malaria point prevalence data and aggregate that to provincial level to get a provincial level estimate of prevalence. For example, we might want to summarize point data over regions. Often, we have point and polygon data and wish to relate them. # Pop quiz * How would you plot all provinces except Amhara? * Try plotting all province using leaflet, with Amhara colored red and all others colored orange. #Plot the result plot ( ETH_Adm_1 ) lines ( ETH_Adm_1_Amhara, col = 'blue', lwd = 2 ) # value : ETH, Ethiopia, ETH.3_1, Amhara, Amara, NA, Kilil, State, 03, ET.AM # crs : +proj=longlat +datum=WGS84 +no_defs LetвЂ™s subset the data first by row/polygon ETH_Adm_1_cropped <- ETH_Adm_1 # Get a summary of the cropped data ETH_Adm_1_cropped You can subset a SpatialPolygonsDataFrame just like a data frame. ETH_Adm_1 <- raster :: getData ( 'GADM', country = 'ETH', level = 1 ) As a reminder, we can load these in from a local shapefile using the readOGR function, or we can use the handy getData function from the raster package to access GADM data. For this exersize, we are going to use the admin 1 boundaries for Ethiopia we used in week 1. Load the necessary libraries for this week library ( sp ) library ( raster ) library ( leaflet ) library ( rgdal ) library ( geosphere ) library ( rgeos ) library ( wesanderson ) library ( stats ) library ( ggplot2 )ДЇirst we are going to subset some spatial (polygon) data. Learning outcomesД«y the end of this week, you will be able to: We will also be go through the process of resampling rasters.

R getdata inland water how to#

This week, we will be stepping up a gear and learning how to crop and subset spatial data. 15 from the following waters of CHEBOYGAN County: Black R., Cheboygan R., and Indian R.In week 1, you got to load up some spatial data and make some pretty maps. It shall be unlawful to take or attempt to take any species of fish with spearing gear or gaff hook from Apr. Waters with Spearing and Gaff Hook Restrictions It shall be unlawful to fish by any other means other than hook-and-line for muskellunge in the following waters: L. T4S, R16W, S31) Waters Closed To Muskellunge Spearing T6S, R12W, S7) VAN BUREN: Bankson and Round Lks. Hudson SCHOOLCRAFT: Grassy and McKeever Lks. Emily, Paint L., Paint (Brule Isle Imp.) Pond, Stanley and Swan Lks. DICKINSON: East, Island, South, and West Lks (all within Groveland Mines) IRON: Brule and Chicagon Lks., L. ALPENA/MONTMORENCY: Fletcher Floodwaters BARRY:В Lower Crooked L., Thornapple L. It shall be unlawful to fish by any means other than hook-and-line for northern pike or muskellunge in the following waters:ДЄLGER: Kingston L. Spearing Exceptions List Waters Closed to Northern Pike and Muskellunge Spearing: All Types 1 and 2 streams, Gear Restricted Streams, Research Areas, Brook Trout Restoration Areas, and nearly all Types 3 and 4 streams are Designated Trout Waters. See Inland Trout & Salmon Regulations in the current Michigan Fishing Guide for more information.ДЄll Type A and D lakes are Designated Trout Waters. ALL WATERS except: Designated Trout Lakes and Designated Trout Streams and Michigan-Wisconsin boundary waters.