mhweber

import pysal as ps
import pandas as pd
'''
Arguments
---------
dbfile  : DBF file - Input to be imported
upper   : Condition - If true, make column heads upper case
'''
def dbf2DF(dbfile, upper=True): #Reads in DBF files and returns Pandas DF
    db = ps.open(dbfile) #Pysal to open DBF

mhweber

import geopands as gpd
from shapely.geometry.polygon import Polygon
from shapely.geometry.multipolygon import MultiPolygon

def explode(indata):
    indf = gpd.GeoDataFrame.from_file(indata)
    outdf = gpd.GeoDataFrame(columns=indf.columns)
    for idx, row in indf.iterrows():
        if type(row.geometry) == Polygon:
            outdf = outdf.append(row,ignore_index=True)

mhweber

library(jsonlite);library(sf)

#lon = -123.1121
#lat = 44.6390
#state = 'OR'

watershed = function(state, lon, lat){
  p1 = 'https://streamstats.usgs.gov/streamstatsservices/watershed.geojson?rcode='
  p2 = '&xlocation='
  p3 = '&ylocation='

mhweber

library(purrr)
library(jsonlite)
library(dplyr)
library(usethis)

# The Data.gov API requires a key and has a 1000 request/hour limit
# Get Key from https://api.data.gov/signup/
# Save key in r environ
usethis::edit_r_environ()
# Add DATAGOV_KEY=YOURKEYGOESHERE to the file.  Save and restart R

mhweber

library(sf)
library(mapview)

# read identifiers for Colorado River and Colorado River (TX) into simple features 
colorado_river <- sf::read_sf("https://geoconnex.us/ref/mainstems/29559")
colorado_river_tx <- sf::read_sf("https://geoconnex.us/ref/mainstems/2639515")


## Function that constructs query to retrive the latest discharge observation from the USGS