vpipkt

##### State area data ####
#this script extracts state area data from US Census Bureau TIGER shapefiles and prepares them for inclusion in the `choroplethrMaps` package.

require("rgdal") # requires sp, will use proj.4 if installed
require("maptools")
require('devtools')

#create a new directory for for the shapefile; 
setwd('scratch')
zipfileSt <- 'cb_2014_us_state_20m'

vpipkt

cat <<EOF >>poly.txt
1	POLYGON((100 0, 101 0, 101 1, 100 1, 100 0))
2	POLYGON((-78.52 38.00, -78.44 38.00, -78.44 38.07, -78.52 38.07, -78.52 38.00))
EOF

cat <<EOF >>poly.conf
{ 
  sft = {
    type-name = "bbox"
    attributes = [

vpipkt

#! /usr/bin/env bash
#
# Copyright (c) 2013-2016 Commonwealth Computer Research, Inc.
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0 which
# accompanies this distribution and is available at
# http://www.opensource.org/licenses/apache2.0.php.
#

setGeoHome ()

vpipkt

import pandas as pd
import folium
from matplotlib.colors import Normalize, rgb2hex
import matplotlib.cm as cm

data = pd.read_csv('http://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_day.csv')
norm = Normalize(data['mag'].min(), data['mag'].max())

map = folium.Map(location=[48, -102], zoom_start=3)
for eq in data.iterrows():

vpipkt

package mil.nga.giat.geowave.analytics.spark.tools

import com.vividsolutions.jts.geom.LineString
import mil.nga.giat.geowave.adapter.vector.FeatureWritable
import mil.nga.giat.geowave.analytic.distance.DistanceFn
import mil.nga.giat.geowave.analytic.partitioner.Partitioner.PartitionData
import mil.nga.giat.geowave.analytics.spark._
import mil.nga.giat.geowave.core.store.operations.remote.options.DataStorePluginOptions
import mil.nga.giat.geowave.mapreduce.input.{GeoWaveInputFormat, GeoWaveInputKey}
import org.apache.spark.rdd.RDD

vpipkt

Describing attributes of feature 'ObjectDetection' from catalog table 'geomesa122.gbdx'...
geom: Point (ST-Geo-index)
item_date: Date (ST-Time-index) (Indexed)
polygon: Polygon
vector_type: String
ingest_date: Date (Indexed)
text: String
source: String
item_type: List
first_item_type: String

vpipkt

#!/usr/bin/env bash

# Script to take these gbdx vector zips and create tar.gz from them

maxLinesStage=700000
outFileNum=0
workDir=/ebs/workdir

# find the zips and loop over them

vpipkt

From a host homeplate Targeting a host secondbase

Assumes you've already got a public key on homeplate. If not:

you@homeplate $ ssh-keygen -t rsa
```

Make sure there's an `~/.ssh` directory on `secondbase`:

vpipkt

#!/usr/bin/env

git clone [email protected]:apache/spark
pushd spark
git checkout v1.5.0
./dev/change-scala-version 2.11
./make-distribution.sh --name scala_2.11-without-hadoop --tgz -Phadoop-provided -Dscala-2.11 -Pyarn -DskipTests

vpipkt

import java.time._
import org.joda.time._

val j8 = ZonedDateTime.now(ZoneId.of("Z"))
//j8: java.time.ZonedDateTime = 2017-06-01T19:40:54.933Z

val z = DateTimeZone.forOffsetMillis(j8.getOffset.getTotalSeconds * 1000)
//z: org.joda.time.DateTimeZone = UTC

val jodated = new DateTime(j8.toInstant().toEpochMilli(), z)