Mapping
Ash Stands On State Forests
For this map I queried the NYS DEC STANDS database to make a map of state reforestation lands that ash are the dominant tree species on. Ash you can see, there are ash stands on most state lands, with white ash most common in the southern part of the state, with a mix of green and black ash on state lands primarily north of the Adirondack Park. For viewing of the polygon layer, you may want to switch to satellite view.
Purple/White = White Ash Stand
Green/Green = Green Ash Stand
Blue/Dark Gray = Black Ash Stand
Data Source: DEC State Land Forest Stands. DEC State Land Forest Stands Polygon data showing forest cover types delineated by state foresters on DEC state land. Balloons added to make easier to see. http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1356
Pyrus calleryana – Wikipedia
Callery Pear
National Perspective on the Runaway Callery Pear – New York State Urban Forestry Council
I moved from Rochester to the Hudson Valley in 2010. In the eight years since, I’ve noticed a steady proliferation of escaped Callery pears in the Valley. From one undeveloped bowl of land at a busy corner in my town emerges a cloud of white in the spring and some admittedly striking fall color come late October/early November. The problem is that not much else is growing there now, and many of these volunteer trees have reverted to thorniness, creating giant impenetrable thickets.
Callery pears have a mixed rating on wildlife value; on the one hand, bees and other insects visit the flowers in spring and a few species of songbirds eat the fruit after it softens in the winter. On the other hand, Callery pears do not support caterpillars in any significant numbers, so they do not provide adequate food for baby birds the way that oaks and other native trees do. From University of Delaware Professor Doug Tallamy, Author of Bringing Nature Home
From University of Delaware Professor Doug Tallamy, Author of Bringing Nature Home
Why are self-sterile cultivars of Callery pear producing fruit? One way it happens is when fertile pear understock sprouts, flowers, and produces viable pollen. Another: by the late 1990s, the introduction of new Callery pear cultivars beyond ‘Bradford’, cultivars like ‘Aristocrat’ and ‘Chanticleer’, led to an unexpected dilemma: in areas where large numbers of Callery pears were planted, the self-sterile cultivars starting pollinating one another. Then came the fruit, then came bird dispersion of the fruit … and “Pyrus, We Have a Problem.”
What I’m learning with my Facebook Map Atlas of the Day πΊ
What I’m learning with my Facebook Map Atlas of the Day πΊ
Since mid-January, I have been posting a new Map Atlas of the Day to my Personal Facebook account. Most of those maps are created with QGIS, using data I’ve been able to pull from a variety of sources but a lot from the tidycensus R package and exported to an GPKG. I tried to spend less then 10-15 minutes each day on the map.
Each day creating the map, it makes me look for ways to automate processes, pull data together quickly. Often I discover a new problem with the layout, forcing me to dig a little deeper into the documentation, learning a new function or technique in QGIS. As time is tight, I often try to do things as quickly. Once you do things constantly, you get quicker and quicker each day, and find ways to take shortcuts. You find ways to improve beauty, make things more visually attractive.
How to create a Shapefile with the Percentage of Polish Americans from the US Census Bureau πΊ
How to create a Shapefile with the Percentage of Polish Americans from the US Census Bureau πΊ
Often you may want to make maps of Census Data. While you can certainly make good maps using ggplot in R, often using full GIS software like QGIS or ArcMap might be a better option. It is very easy to create shapefiles to use in your favorite GIS application using tidycensus. Changing the resolution setting can help if you are exporting to PDF or SVG from your GIS program to reduce file sizes.
library(tidycensus) # you will need a free Census API, see tidycensus docs
library(sf) # required for export# Use this to find Census variables in RStudio. Browse and search the table for
# desired variables.
# load_variables(2020, “acs5”, cache = TRUE) %>% View()# Get data. By setting geometry = TRUE,
pol <- get_acs(
geography = “county subdivision”,
variables = c(“B04006_061”, “B04006_001”),
survey = “acs5”,
state = “ny”,
year = 2020,
output = ‘wide’,
resolution = ‘500k’,
geometry = T,
)# calculate percent polish
pol$polish <- (pol$B04006_061E/pol$B04006_001E)*100# use .gpkg extension for a geopackage, .kml for a KML file
# saves by default in your RStudio directory but change path to where you want
pol %>% write_sf(‘Polish_Americans.shp’)