Skip to content

reports_01

23 Aug 16
Initial Resources — California AB 802 Support
===========================================================

Prime Contract
I have read once, the text of Contract 400-12-XXX
Nonresidential Science Technical Support, dated 26 July 2013, in particular Exhibit A.

AB-802 Background Reading -here-

http://www.energy.ca.gov/benchmarking/

Mayors’ Announcement -here-

A Regional Approach to Tally and Reporting
region_defs2

There are formal planning districts in the State of California,
representing more than 90% of the state’s population. Each is
composed of member counties. It is convenient to a statewide mapping
effort to track and focus based on the following divisions:

 region_id |     region_name     
-----------+---------------------
         1 | northern_california
         2 | sierra
         3 | bay_area
         4 | sacramento
         5 | central_valley
         6 | central_coast
         7 | southern_california
         8 | san_diego

1) Northern counties (very low populations)

2) Sierra counties (very low populations)

3) Association of Bay Area Governments
http://www.abag.ca.gov/

4) Sacramento Area Council of Governments
http://www.sacog.org/

5) Central Valley

6) Central Coast

7) Southern California Association of Governments
http://www.scag.ca.gov/

8) San Diego Association of Governments
http://www.sandag.org/

A preliminary survey of county GIS resources -here-

US Census — Place Definitions Overview -here-

Resources for Openstreetmap Los Angeles Buildings Import

* Geofabrik Openstreetmap Extracts, California -here-

* Los Angeles Geoportal Data -here- Notes -here-

* Openstreetmap Extract API Server Links -here-

* OSM Hollywood Hills Extract -BINARY-

Openstreetmap LA Buildings Import Samples

Custom Tags Question -here-

HollywoodHills_Zoom14

HollywoodHills_Zoom15

HollywoodHills_Zoom16

HollywoodHills_Zoom17

HollywoodHills_Zoom18

 

CoStar MultiFamily POINT Test

CoStar_MF_test0

CoStar_MF_test0_LA_ugly

———————————

Berkeley OSM Hilites

Berkeley OSM Hilites

——————-

17 Aug 16
Insights for California NonResidential Engineering Kickoff
===========================================================

An attempt to catch some of the Big Ideas of the project

* Buildings have a natural identification – location
using the location as a primary identifier with GeoHash

* This is an inventory of buildings
– not addresses
– not rendering of buildings into web screens or mobile
– not parcels
– many secondary data uses are possible, but keep it clear

* Stats approach, not only Librarianship
– there are statistical views of accuracy and completeness
– coverage is “mostly” solved (see What is a Building Footprint)

* An inventory is not a surveyors record
– location accuracy is always challenging for fundemental reasons,
but location in California is especially challenging due to seismic activity

* What is a building footprint, anyway ?
– awnings, covered parking
– connected walkways
– unusual architecture
– mixed uses, landscape integration

* This is not OpenStreetMap, but synergy is important
– an in age of local officials doing tallys by hand, tasks could last years
and still have inconsistant results
– volunteered public data has a big role, and getting bigger
OSM uses data integrity checks, culture, attribution, and tools to keep growing
– OSM Board Member Mikel Maron says
“OSM is on track to become the largest geographics data set in the world”
– LA Buildings Import project setting new precendents in 2016
– buildings are an active topic in OSM globally
– we dont care about “vector tiles” (yet)

* Distraction is Important, but has to be kept in Check !
– very interesting delivery options, renderings, linked data, repurposing
available, AND a huge time sink
– Intellectual freshness is important to great results, and
tech interoperability helps with freshness, verification,
so, use the tech, but keep AGILE checks on distraction

The next visualzations are from a previous study of residential parcels..

* Heatmap for State-wide inventory
* Hex Cells for statistical analysis of proximate value
* POINT geometry for human viz of local development patterns

click for larger view

fnis_inventory_density_adj_nov13

fnis_inventory_density_ncal_nov13

fnis_inventory_density_ba_nov13


these are snapshots taken from my internal development environment. The data you see here is the “inventory” of residential real-estate.. Anything to do with current owner, past history, current status and more are related to, but not the same as, these “match core” addresses..

As I said on the phone, the US Postal mailing address seems to be the number one matching criteria. with the physical location a close second.. Any time there is new information, it has to be matched first and foremost.

I have a lecture at 19:00, so more later… -Brian


0_base_inventory

01_base_inventory

02_base_inventory

03_base_inventory