deploy: added docker/ directory

docker/Dockerfile

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+# https://hub.docker.com/r/rocker/tidyverse/tags
+FROM rocker/geospatial:4.2.3
+MAINTAINER Jonathan Callahan <[email protected]>
+
+# Install from CRAN to get all dependencies
+RUN install2.r --error -r "https://cran.rstudio.com" \
+    AirMonitor
+
+# Uupdate to latest version from Github
+RUN installGithub.r \
+    MazamaScience/[email protected]
+

docker/Makefile

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+################################################################################
+# Makefile for building and running docker containers
+
+
+# PRODUCTION version -----------------------------------------------------------
+production_build:
+	docker build --no-cache -t mazamascience/airmonitor:0.3.10 -t mazamascience/airmonitor:latest .
+
+production_publish:
+	docker login && docker push mazamascience/airmonitor:0.3.10
+

docker/README.md

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+## Create a Docker Image ##
+
+A quick refresher on docker commands is available at the [docker cheatsheet](https://github.com/wsargent/docker-cheat-sheet).
+
+> _NOTE:_ Issue on new Macs with M1 chips: "failed to solve with frontend dockerfile.v0", 
+> Partial solution involves issuing the following commands at the command line:
+> `export DOCKER_BUILDKIT=0`
+> `export COMPOSE_DOCKER_CLI_BUILD=0`
+>
+> For now, don't build on machines with M1 chips.
+
+A docker image with all required prerequisites can be built with the `Makefile` in this directory:
+
+```
+make production_build
+```
+
+You should then be able to see something like the following:
+
+```
+% docker images | grep airmonitor
+mazamascience/airmonitor     0.3.10    b488a1a4273a   About a minute ago   4.42GB
+mazamascience/airmonitor     latest    b488a1a4273a   About a minute ago   4.42GB
+...
+```
+
+## Test the Docker Image ##
+
+Having built the docker image we can now test it. The following output was 
+obtained on April 26, 2023:
+
+```
+docker run -ti mazamascience/airmonitor R --vanilla
+...
+monitor_loadLatest() %>% 
+  monitor_filterByDistance(-122.33, 47.60, 2000) %>%
+  monitor_getData() %>% 
+  tail()
+               datetime 51b9bcb4eaac7c9d_840530330030
+236 2023-04-26 15:00:00                             6
+237 2023-04-26 16:00:00                             8
+238 2023-04-26 17:00:00                             8
+239 2023-04-26 18:00:00                            15
+240 2023-04-26 19:00:00                            NA
+241 2023-04-26 20:00:00                            NA
+...
+monitor_loadLatest() %>% 
+  monitor_filterByDistance(-122.33, 47.60, 2000) %>%
+  monitor_getMeta() %>% 
+  dplyr::glimpse(width = 75)
+  Rows: 1
+Columns: 61
+$ deviceDeploymentID       <chr> "51b9bcb4eaac7c9d_840530330030"
+$ deviceID                 <chr> "840530330030"
+$ deviceType               <chr> NA
+$ deviceDescription        <chr> NA
+$ deviceExtra              <chr> NA
+$ pollutant                <chr> "PM2.5"
+$ units                    <chr> "UG/M3"
+$ dataIngestSource         <chr> "AirNow"
+$ dataIngestURL            <chr> "https://www.airnowapi.org/aq/data/"
+$ dataIngestUnitID         <chr> NA
+$ dataIngestExtra          <chr> NA
+$ dataIngestDescription    <chr> NA
+$ locationID               <chr> "51b9bcb4eaac7c9d"
+$ locationName             <chr> "Seattle-10th & Weller"
+$ longitude                <dbl> -122.3197
+$ latitude                 <dbl> 47.59722
+$ elevation                <dbl> 41.8
+$ countryCode              <chr> "US"
+$ stateCode                <chr> "WA"
+$ countyName               <chr> "King"
+$ timezone                 <chr> "America/Los_Angeles"
+...
+```
+
+## Publish the Docker Image ##
+
+```
+docker login
+...
+docker push mazamascience/airmonitor:0.3.10
+```
+
+
+## Download the Docker Image ##
+
+A recent image can also be obtained from DockerHub with:
+
+```
+docker pull mazamascience/airmonitor:0.3.10
+```
+
+