|
|
|
-- GIS tools & data resources you can use December 2023 .. statistical mapping & visual data analysis ... Geographic Information Systems (GIS) provide flexible and powerful capabilities to combine maps with data. In our increasingly data rich environment, we often experience "drowning in data." GIS tools can help harness disparate and voluminous data and assist with data linkage. This section provides links to other sections that provide information on ready-to-use, "production" GIS projects and datasets that you can use. Accessing and using MSD GIS projects are reviewed in the every Tuesday and Thursday Data Analytics Web Sessions. Requirements to Use Mapping Statistical Data (MSD) Projects MSD projects may be used with CV XE GIS or VDA Desktop GIS (all levels) Requirements to download MSD projects require either: 1. CV XE GIS or VDA Desktop GIS Level 2 or higher active subscription or 2. Registered participant in the Congressional Communities program Installing CV XE GIS and VDA Desktop GIS • install the CV XE GIS software (Windows) .. user guide • install the VDA Desktop GIS VDAD software (Windows) .. VDAD user guide MSD GIS Projects 12.02.23. ACS 2022 1-Year This project enables examining national scope ACS 2022 1-year demographics and tabulation areas. Details on accessing and using this project reviewed in web sessions .. following view shows school districts included in ACS 2022 1-year tabulations.  07.15.23. US1 Patterns of Percent Mexican Population by ZIP Code Area This project enables examining national scope Census 2020 ZIP Code areas. The start-up view shows patterns of percent Mexican population by ZIP Code area in the Fresno, CA area. The project builds on the US1 base project (04.06.23 below). The graphic below shows ZIP code areas with ZIP code as upper label and percent Mexican population as lower label in context of Fresno city, CA (orange cross-hatch pattern). Create this view (or variations) for any area using this project.  07.11.23. US1 Patterns of Percent Chinese Population by Census Tract This project enables examining national scope Census 2020 census tracts. The start-up view shows patterns of percent Chinese population by tract in the San Francisco area. The project builds on the US1 base project (04.06.23 below). Subject matter data are based on ACS 2021 5-year estimates. -- examining patterns of %Chinese population Census 2020 census tracts in San Francisco CA area. 
The basic Ceneus 2020 shapefile was augmented with data from a Chinese-related dataset developed using DEDE. The DEDE subject matter file is located here. Fields included in the ready-to-use tract shapefile are listed below (fieldname shown at left). Inclusion of these fields enable further analysis in addition to only percent population. TotPopA21 -- Total Population Chinese -- Chinese population, except Taiwanese LSAHTot -- Total population, Language Spoken at Home LSAHEng -- Speak only English LSAHChT -- Total Chinese (incl Mandarin, Cantonese) LSAHChVW -- Total Chinese (incl Mandarin, Cantonese) Speak English very well LSAHChNVW -- Total Chinese (incl Mandarin, Cantonese) Speak English less than very well FBTotal -- Total Foreign born FBEAC -- Total Asia .. Eastern Asia China FBEACHKKT -- Total Asia .. Eastern Asia .. China China, excluding Hong Kong and Taiwan FBEACHK -- Total Asia .. Eastern Asia .. China Hong Kong FBEACHT -- Total Asia .. Eastern Asia .. China Taiwan It is recommended that the downloaded zip file be unzipped to its own folder: c:\chinese. The project would then be opened as c:\chinese\us1_chinese.gis 06.21.23. US1 Persistent Poverty Census Tracts Project This project enables examining national scope Census 2010 census tracts experiencing persistent poverty. The project builds on the US1 base project (04.06.23 below) and incorporates U.S. by county, metro, state population estimates & components of change time series data including 2022 model-based estimates released by Census in March 2023 The US1_poverty.gis project adds a national scope Census 2010 tracts layer tagged with an attribute for persistent poverty status. See more about these data here: persistent poverty pdf (released in May 2023). -- examining persistent poverty tracts by Census 2010 census tracts in San Joaquin valley CA area/ 
It is recommended that the downloaded zip file be unzipped to its own folder: c:\poverty. The project would then be opened as c:\poverty\us1_poverty.gis 06.15.23. US1 Population & Housing Density Project This project enables examining population & housing density by census block. This project builds on the US1 base project (04.06.23 below) and incorporates U.S. by county, metro, state population estimates & components of change time series data including 2022 model-based estimates released by Census in March 2023 The US1_density.gis project adds two California by census block layers and the national scope urban area shapefile -- examining population and housing density by block 
It is recommended that the downloaded zip file be unzipped to its own folder: c:\density. The project would then be opened as c:\poverty\us1_density.gis 05.15.23. Congressional Districts & State Legislative Districts Project CD 118 CA 17 has the highest ACS 2021 1-year median household income estimate among all CDs. How to determine & map? What are the top 10 CDs based on $MHI? Congressional District Urban/Rural Data/Patterns Using these resources: - Census 2020 block to CD 118 equivalence files - TIGER/Line "TL22" shapefiles as source of population, housing units and urban status by block - building the Congressional District Urban/Rural Dataset - integrating these data into a CD118 congressional district shapefile 04.06.23 US1 Project Incorporates U.S. by county, metro, state population estimates & components of change time series data including 2022 model-based estimates released by Census in March 2023 Demographic time series analysis c:\us1\us1_033023.zip ProximityOne User Group -- goto top Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. Data Analytics Web Sessions Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants. Additional Information ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest. |
|
|
