This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

The community profiles contain data from 2016 Census and long form program. The 2016 census data is considered to be of good quality and general comparisons can be made with similar data from previous years. Direct comparisons cannot be made between Statistics Canada’s 2016 Long Form data and the 2011 National Household Survey (NHS).The figures shown in the tables and charts have been subjected to a confidentiality procedure known as random rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are randomly rounded either up or down to a multiple of "5", and in some cases "10". While providing strong protection against disclosure, this technique does not add significant error to the data. The user should be aware that totals and margins are rounded independently of the cell data so that some differences between these and the sum of rounded cell data may exist. Also, minor differences can be expected in corresponding totals and cell values among various census tabulations.Statistics Canada is committed to protect the privacy of all Canadians and the confidentiality of the data they provide. As part of this commitment, some population counts of geographic areas are adjusted in order to ensure confidentiality.For more information about Kingston's Community & Neighbourhood Profiles, as well as links to exciting new tools, please visit our website: https://www.cityofkingston.ca/explore/neighbourhood-profilesA detailed Glossary of Terms is also available (Adobe PDF format): https://drive.google.com/file/d/1KAbrqmARXjzy1yBcVlVYf2Xz-KidOfXM/view?usp=sharingNOTE: The data delivered by Statistics Canada for Kingston has been altered and "category totals" removed in the languages section. This was necessary in order to ensure compatibility when downloading the data with third party applications (e.g., MS Excel, ESRI Shapefile).

How did the City create the Equity IndexWorking with Ohio State University's Kirwan Institute of Race and Social Justice, the City complied the Equity/Opportunity Index to help facilitate data-driven decision-making processes and enable leaders to distribute resources better and plan to fund programs and services, minimize inequities and maximize opportunities.The indicators displayed in the Equity/Opportunity Index have been shown to have a direct correlation to equity. For more information, please reference the additional document on the evidence-based research determinant categories. The data is measured granularly by census block group.The list below comprise the Indicators per index: Accessibility Parks & Open SpaceVoter ParticipationHealthy Food Access IndexAverage Road QualityHome Internet AccessTransit Options & AccessVehicle AccessLivabilityTacoma Crime IndexESRI Crime IndexCost-Burdened HouseholdsAverage Life ExpectancyUrban Tree CanopyTacoma Nuisance IndexMedian Home ValueEducationAverage Student Test RateAverage Student Mobility4-Year High School Graduation RatePercent of 25+-Year-Olds with Bachelor's Degree or MoreEconomyPierce County Jobs IndexMedian Household Income200% of the Poverty line or LessUnemployment RateEnvironmental HealthEnvironmental ExposuresNOx- Diesel Emissions (Annual Tons/Km2)Ozone ConcentrationPM2.5 ConcentrationPopulations Near Heavy Traffic RoadwaysToxic Releases from Facilities (RSEI Model)Environmental EffectsLead Risk from Housing (%)Proximity to Hazardous Waste Treatment Storage and Disposal Facilities (TSDFs)Proximity to National Priorities List Facilities (Superfund Sites)Proximity to Risk Management Plan (RMP) FacilitiesWastewater DischargeWhat does Very High or Very Low Equity/Opportunity mean?Very High Equity/Opportunity represents locations that have access to better opportunities to succeed and excel in life. The data indicators would include high-performing schools, a safe environment, access to adequate transportation, safe neighborhoods, and sustainable employment. In contrast, Low Equity/Opportunty areas have more obstacles and barriers within the area. These communities have limited access to institutional or societal investments with limits their quality of life.Why is the North and West End labeled Red?When looking at data related to equity and social justice, we want to be mindful not to reinforce historical representations of low-income or communities of color as bad or negative. To help visualize the areas of high opportunity and call out the need for more equity, we chose to use red. We flipped the gradient to highlight disparities within the community. Besides, we refrained from using green or positive colors with referring to dominant communities (white communities).Can I add more data and indicators to the Equity Index?Yes, by downloading the file and uploading it to ArcGIS, you can add data and indicators to the Index, and you can import the shapefiles into your database. The indicators and standard deviations are available on ArcGIS online.Can I see additional or multiple map layers?Within the left navigation panel, you can aggregate the index layers by determinate social categories; Accessibility, Education, Economy, Livability

1.Development Corridors 25 Km buffer – this is the ArcGIS shape file of the 33 corridor segments from Table 1 of the paper, buffered by 25km on either side of the corridor (road or rail etc.). The data fields of the corresponding .dbf file (included; you can view in it Excel if not ArcGIS) are fairly self-explanatory: ‘status’ is as per Table 1 of the paper; ‘label’ is as per Figure 3 of the paper; ‘pc_settl’ is the percentage area of each buffer zone that is settled, as indicated by nightlights, as described in the paper; ‘poly_area’ is the area (in m2) of each buffer zone; ‘green’ and ‘red’ are respectively the data defining the environmental value and agricultural potential columns from Table 1 of the paper, which re-scale these data, as described in paper. 2. Development Corridors - this is the ArcGIS shape file of the 33 corridor segments from Table 1 of the paper. The file shows the linear corridor features (roads and rails etc) that were buffered to create the file above. Fields in the corresponding .dbf file are as above.

Abstract: I came up with the question: With all of these flooding events, what have we learned from them? What can we do so that when extreme precipitation occurs, what can we do to prepare? Research: I collected data from the Kentucky Mesonet after giving them dates that I found significant precipitation in. After that, I compiled excel spreadsheets, took text files that were given to me with the date, time, station names (75), latitudes, longitudes, and precipitation totals in 5 minute increments. I summed up these precipitation totals, put them in other excel sheets that contained lat and longs, and that were alphabetized by station name. Hypothesis: We can look at the data collected and see how those areas are affected. From there, we can see what areas are more susceptible to flooding, or are located in floodplains. I believe that we could prepare better for these events and have news outlets not become too hysterical when said events occur as to not cause fear throughout the communities. Experiment: I looked at the data and analyzed it. Share your results: The precip totals are posted on the map, and from there, they are shared on the story map. I hope you enjoy, and learned something new.

Below is a quick rundown of the tools available in the web map! The first new thing you may notice is the ability to search from in the splash window that appears. This hopefully reduces the number of clicks people will need to get to their information. There's the same search bar in the upper left once you click out of the splash screen. The Query tool has existed in this form on the sub-maps, but now it is here with all the layers. I want to highlight "Search by Legal Description" as a nifty way to find parcels associated with a specific subdivision. I also want to highlight the "find tax parcels/addresses within specified distance" queries. Those let you select every tax parcel or address within a feature you draw (a point, line, or polygon). This is good for finding what properties within a distance need to be notified of something. That can then be exported as an Excel table (csv). This can also help you identify whether something falls within certain setbacks. The Basemaps is the same as it was before. I haven't gotten the Virginia Geographic Information Network imagery from 2017 and 2021 to successfully appear here, but you can find that in the map layers at the bottom. We have a lot of data layers! I currently have the default as every group expanded out, so you can scroll and see all the layers, but you can go through and click to collapse any groups you don't want expanded. Okay, the select tool is super cool, and lets you really dive into some fun GIS attribute querying! As an example, you can select all the FEMA Flood Zones that are AO, then select all the tax parcels that are affected by (intersect) those AO zones! These results can also be exported into an Excel table. A great deal of GIS analysis is possible just using Select by Attributes and Select by Location, so this tool really ramps up the power of the web map so it can do some of what the desktop GIS software can do! Continuing our tour of the tools, we come to the coordinates tool. This one also existed already in the sub-maps, but is now with all the layers. Unfortunately, the tool is a little annoying, and won't retain my defaults. You have to click the little plus sign target thing, then you can click on the map to get the coordinates. The coordinate system defaults to WGS 1984 Web Mercator (the same thing Google Maps uses), but much of our data uses NAD 1983 State Plane Virginia South, so you can click the dropdown arrow to the right to select either one. Exciting news related to this: in 2026 they are releasing the new coordinate system on which they've been working! It should make the data in GIS more closely align with features in reality, but you will not need to change any of the ways you interact with the data. The next tool is the Elevation Profile tool. It's very nifty! You can draw a profile to see how the elevation changes, and as you move your cursor along the graph, it shows where along your transect you are! It helps explain some of the floodplain and sea level rise boundaries. You know the measure tool well, but this one retains the defaults in feet and acres, which is very exciting! No more having to change the units every time you want to measure (unless you want other than feet and acres). The draw tool is our penultimate stop on the tour! It is largely the same as what existed on the old public web map, so I shan't delve into it here. When you draw a feature now though, it appears in the layers tab (until you close the map), which can let you toggle the drawing on and off to work with what is beneath it. It can help as you plan in where you might want to put new constructions. The print tool is also largely the same, but I've been finding the tool in this new Experience Builder format is less buggy than the one in the retired Web App Builder that made the old Public Web Map.