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eli knaap @knaaptime.com · 15/04/2026

another quirk in the econometrica paper is all spatial autocorrelation is viewed as misspecification and i cant understand how their approach works any time you have legitimate spillover in X or Y? arent they proposing griffith-style spatial filtering? onlinelibrary.wiley.com/doi/abs/10.1...

More abstractly, as discussed in Conley (1999), “locations” might index
an economic characteristic and the “economic distance” between locations measures the
dissimilarity of the characteristic. We thus follow the geostatistical tradition of positing a
continuous parameter model of spatial variation, rather than, say, model dependence by
spatial autoregressive (SAR) models of Cliff and Ord (1974) and Anselin (1988).2

Spatial Dependence In many instances where regression unalysis is applied 10 cross-sectional data, various measurement problems, spatial externalities, and other spillover effects may lead to dependent error terms. In addition, in the emptrical implementation of models of spatial processes, spatial structure, or spatial interaction, the dependent variable at one point in space may be functionally related 10 i1s values at some or all other locations in the system. In other words, spatial dependence is reflected in regression analysis in two distinct forms, one as a misspecification and the other as a result of the explicit modeling of space. In more formal terms, these two basic representations of spatial dependence can be expressed as: y= f(y, X, beta, epsilon), Or epsilon= g(epsilon, lambda, xi)

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eli knaap @knaaptime.com · 15/04/2026

*stares blankly in Regional Science* here's Luc and Dan, a mere forty years ago, discussing the inferential issues in spatial regression, which were already very well-known at the time

Do Spatial effects really matter in regression analysis? By Luc Anselin and Daniel Griffith, Papers in Regional Science 1988

The effects of spatial dependence in the error term are the same as for any nonspherical disturbance variance matrix. The regression coefficients will remain unbiased using OLS, but significance tests and measures of fit may be misleading. This result is due to the biased estimation of error variance, / test significance levels, and R2?.

C O N C L U D I N G R E M A R K S O n e o f t h e m a i n o b j e c t i v e s o f t h i s p a p e r w a s t o i l l u s t r a t e t h a l i g n o r i n g s p a t i a l c f l e c t s i n a p p l i e d r e g r e s s i o n a n a l y s i s m a y l e a d t o s e r i o u s e r r o r s i n t h e I n t e r p r e t a t i o n o f f a m i l i a r r e g r e s s i o n d i a g n o s t i c s a n d m i s s p e c i f i c a t i o n t e s t s . ‘ C h e r e s u l t s o f t h e s i m p l e n u m c r i c a l e x p e r i m e n t s r e p o r t e d o n i n t h i s p a p e r c l e a r l y d e m o n s t r a t e t h a t s p a t i a l c t l e c t s r e a l l y d o m u t t e r i n r e g r e s s i o n a n a l y s i s . A t t h t s p o i n t i n t i m e , a c o n s i d e r a b l e b o d y o f l i t e r a t u r e i s a v a i l a b l e t h a t d e s c r i b e s t e c h n i q u e s f o r h a n d l i n g s p a t i a l e f f e c t s i n a p p l i e d r e g r e s s i o n a n a l y s i s . H o w e v e r , t h e r e a p p c u r t o b e s e v e r a l m a j o r o b s t a c l e s h i n d e r i n g a m o r e e f f e c t i v e d i s s e m i n a t i o n o f t h e s e m e t h o d s t o t h e p r a c t i c e o f r e g i o n a l s c i e n c e a n d g e o g r a p h y , W e f e c l t h a t i n o r d e r t o a c h i e v e a n e f f e c t i v e a n d t h o r o u g h d i s s e m i n a t i o n a n u m b e r o f i m p o r t a n t r e s e a r c h i s s u e s n e e d t o b e a d d r e s s e d . A m o n g t h e s e w e b e l i e v e t h e f o l l o w i n g f i v e a r e m o s t c r u c i a l : ( 1 ) a m o r e e f f e c t i v e t e s t i n g f o r t h e P r e s e n c e o f s p a t i a l e l l e c t s i n ’ r e g r e s s i o n r e s i d u a l s , e i t h e r i n i s o l a t i o n o r i n c o m b i n a t i o n w i t h o t h e r s o u r c e s o f m i s s p e c i f i c …

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eli knaap @knaaptime.com · 15/04/2026

on the one hand, it's dope to see spatial analysis win Econometrica's best paper (!) on the other, it's so deeply troubling that this statement is news to economists in 2026

excerpt from the paper's conclusion:

Applied researchers are well aware of the pitfalls of conducting inference with persistent time series data. Variables are routinely tested for extreme time series persistence
using unit root or related tests, and are often differenced to avoid spurious regression
effects.
This paper demonstrates that inference with highly persistent spatial data is equally
fraught: HAC or clustered standard errors fail in the presence of strong spatial correlation, leading to spurious significance between independent spatial variables. We have
provided tools to detect such strong spatial persistence, akin to time series unit root and
stationarity tests.
We have also suggested ways of restoring valid regression inference by suitably transforming the spatial variables, combined with spatial HAR corrections to accommodate
any residual weak correlations. The theory here is much less complete, however.

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eli knaap @knaaptime.com · 29/01/2026

if foot traffic flows into a place like downtown LA looked something like this before the ICE raids, then, say, like this afterward... well, there will be economic consequences, on top of everything else socialecology.uci.edu/news/oc-busi...

a racial dot density map of the LA regions. Colored lines of varying widths show the level of flow from different communities (before the June ICE raids)

a racial dot density map of the LA regions. Colored lines of varying widths show the level of flow from different communities (after the June ICE raids). There are substantially fewer lines and smaller widths indicating fewer people traveling downtown from a smaller set of origins. Many of the reduced flows come from predominantly nonwhite communities, suggesting a chilling effect across the diverse region

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eli knaap @knaaptime.com · 23/01/2026

ha, neat! at the moment, this is all the code it takes to do it from scratch (windy city or anywhere else!). All you'd need to do is swap out the NLCD raster for a building layer or similar (though i dont have building footprint/non-building logic as i think you linked)

$python code to create dot density map using the geosnap and tobler packages import geosnap as gsp from tobler.dasymetric import masked_dot_density raster = "s3://spatial-ucr/nlcd/landcover/nlcd_landcover_2021.tif" cols = [ "n_nonhisp_white_persons", "n_nonhisp_black_persons", "n_hispanic_persons", "n_asian_persons", ] chi = gsp.io.get_acs(gsp.DataStore(), msa_fips="16980", years=2021) chi_race_density = masked_dot_density( chi, raster=raster, categories=cols, scale=0.4, pixel_values=[22, 23, 24] ) chi_race_density.sample(frac=1).lb.explore("category", cmap="rainbow")$ racial dot density map of chicagoland

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eli knaap @knaaptime.com · 23/01/2026

the quality of the allocation is really just a function of the dasymetric mask, so this feels like a pretty useful concept i'll stick in `tobler`. This also lets you play with DGPs other than uniform (e.g. clustered poisson), which can get interesting)

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eli knaap @knaaptime.com · 23/01/2026

here im using NLCD to allocate CA's population to only "developed" areas (pixels 22,23,24), which isnt perfect but works pretty well @kylebarron.dev 's `lonboard` continues to impress. This is 15M points (40% of CA's total pop) and embedding the data in standalone html ends up ~450mb w/ no delay

proportional dot density map showing racial segregation in southern california

proportional dot density map showing racial segregation in the bay area

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eli knaap @knaaptime.com · 23/01/2026

dot density maps arent my favorite, but they can be really rich ways of looking at multigroup segregation. If you know the area a bit, you dont even need a legend to recognize what these categories represent. One thing i havent seen before is a combo of dot density with dasymetric mapping

proportional dot density map showing racial segregation in greater los angeles

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eli knaap @knaaptime.com · 02/12/2025

seeing letsplot, the "gg" style feels very foreign (and, like, a lot more verbose than i remember). This is definitely not *an API* I love, though it definitely makes pretty plots. (presumably these musings are similar to the datatable vs tidyverse dogmas R people are used to)

image of lets-plot code that creates a map of africa

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eli knaap @knaaptime.com · 07/10/2025

weighted results are also simple (70k observations this time). The histogram is still different from the original graph though (and the median rent actually drops a bit to 2270) @besttrousers.bsky.social are you doing something i'm missing? bsky.app/profile/knaa...

occ_rent = occ_rent.set_index('CONTROL')

weighted_idx = occ_rent.index.repeat(occ_rent['FW'])

weighted_idx

weighted_rent = occ_rent.merge(weighted_idx.to_frame(), left_index=True, right_index=True, how='right')

weighted_rent.RENT_AMOUNT.hist(bins=20)

weighted_rent.RENT_AMOUNT.describe()

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eli knaap @knaaptime.com · 07/10/2025

extremely quick and dirty, but ignoring the survey weights, you can basically recreate these numbers from NYCHVS in ~9 lines. Only gives you 138 observations and the histogram is a little different (original seems to include $0? among a few other diffs), but the 2300 number shows up, fwiw.

import pandas as pd

units = pd.read_csv("https://www.nyc.gov/assets/hpd/data/allunits_puf_23.csv")

# brooklyn 3br
units = units[(units.BORO==2) & (units.BEDROOMS==3)]
# "market rate"
units = units[units.CSR==80]

# occupied table has rents
occ = pd.read_csv("https://www.nyc.gov/assets/hpd/data/occupied_puf_23.csv")
occ = occ.set_index('CONTROL')

occ_rent = occ.merge(units[['CONTROL']], left_index=True, right_on='CONTROL')

occ_rent = occ_rent[~occ_rent.RENT_AMOUNT.isin([0,-1,-2])]

occ_rent.RENT_AMOUNT.hist(bins=20)

occ_rent.RENT_AMOUNT.describe()

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eli knaap @knaaptime.com · 03/10/2025

one thing i do miss from twitter is having people like Gillies around (he's not here, right?) also: it's bullshit.

post from sean gillies blog https://sgillies.net/

I've been on the Project Steering Committee (PSC) of the GDAL project for a few years now. It's a hugely significant software project, one that I'm very fond of, and I like to think that I've had an impact in my time on the committee.

Recently, though, the steering part has become less rewarding. By granting Amazon S3 and its imitators special, featured storage protocols, GDAL is stuck carrying water for big and lucrative cloud service providers and a few hyper-scaling customers that don't adequately support the project. It's a crappy situation, not unique to GDAL. A lot of open source projects find themselves ruthlessly exploited these days. This is my personal view. I don't speak for GDAL.

More importantly, I'm doing less geospatial work these days, and thus I'm increasingly uncertain about the rapidly-changing currents in which the PSC is steering the project. Do things like "GeoParquet" and "GeoArrow" really matter to practitioners who aren't working for a handful of hyper-scaling organizations? Is "GeoAI" for real or is it bullshit? Do we steer the project towards these interests or away from them? I truly don't know. I wish I did.

Can I fully engage with the problems that GDAL faces over the next year? That's my criteria for participating in the PSC. I can't, and so it's time to go. The project is in good shape, I believe, and I hope that I'm making room for someone with a great vision to join it.

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eli knaap @knaaptime.com · 03/10/2025

incidentally, about 3 blocks (in the other direction) from where this was taken back in 2017 knaaptime.com/urban_analys...

brown boston terrier standing on a side walk with "fuck trump" etched into the concrete

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eli knaap @knaaptime.com · 02/10/2025

Among so many other examples, this is just not how governing works

The White House took steps to maximize the pain of the government shutdown, halting funds for democratic-led states and readying mass layoffs

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eli knaap @knaaptime.com · 25/09/2025

cool news from PySAL world: the (imminent) next release of the `esda` module will have (1) spatial correlograms and (2) (more importantly) @levijohnwolf.bsky.social's partial Moran's I estimator described in www.tandfonline.com/doi/pdf/10.1... (both already in main if you can't wait 😎)

relationship diagram showing different spatial interaction structure(s) underlying alternative concepts of spatial correlation and the Moran's I coefficient, as shown in https://www.tandfonline.com/doi/pdf/10.1080/24694452.2024.2326541

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eli knaap @knaaptime.com · 11/09/2025

i mean, he's also quite clear about *why* he's using a sensational title in his into. He wants this piece to be part of the conversation. But if you think clickbait is too pejorative, i guess i undertand

Given the title, there’s little doubt that the provocation was intended; after all, a piece entitled “Why America should carefully extend urban infrastructure to accommodate growth” might work for the Congress for the New Urbanism, but wouldn’t generate much buzz.

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eli knaap @knaaptime.com · 11/09/2025

i dunno. I thought dougherty's piece was wildly off, but this reads as a little disengenuous. compact sprawl? by definition that's *not sprawl*. The cogent argument is we need metropolitan-scale regulation to support infill. It's better to just say that than to be click baity for more reads

The suburban growth in the Sunbelt may be “sprawl,” if one is going to use that term to describe any and all development outside already built-up cities, but as Figure 5 from Princeton, Texas (a city featured in Daugherty’s article) shows, it is very compact sprawl. The homes shown in the image are built at a gross density including streets, playgrounds and such, of roughly five units per acre, and a net density in each block with 6250 square foot lots, of seven units per acre. Not quite downtown apartment densities, to be sure, but if one accepts that there is a continued demand for single family homes, a highly efficient use of land, and comparable to the densities of older single family neighborhoods in cities like Cleveland.

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eli knaap @knaaptime.com · 08/09/2025

not yet published but I'm talking about our 3rd paper on the project at WVU's Regional Research Institute next friday, describing how to combine discrete choice with location-allocation models to explore tradeoffs in siting harm reduction services. Happy to post slides if anyone interested

a map of riverside county CA showing four potential harm reduction sites and their service areas, assuming a 5 kilometer service area

a map of riverside county CA showing four potential harm reduction sites and their service areas, assuming a 15 kilometer service area

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eli knaap @knaaptime.com · 26/08/2025

hey, um. esri is not a valid source for population forecasting. www.nytimes.com/interactive/...

Those gains will come at the expense of major Democratic states like New York and California, according to a New York Times analysis of population projections by Esri, a nonpartisan company whose mapping software and demographic data are widely used by businesses and governments across the world.

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eli knaap @knaaptime.com · 10/07/2025

OR, i'll forfeit the 20mil if you promise to stop being a dick to everyone else fighting for justice. This dude is incredible bsky.app/profile/the-...

Columbia University graduate Mahmoud Khalil is seeking $20 million in damages from the Trump administration, according to court records — or an apology and rescission of the government’s policy of targeting pro-Palestine student demonstrators. (Reuters)

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eli knaap @knaaptime.com · 20/06/2025

continues to cackle from sn diego bsky.app/profile/opin...

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eli knaap @knaaptime.com · 19/06/2025

we're just citing blog posts in SC rulings now? ill never understand this in the same way ill never understand why people are willing to read yglasias. who the fuck cares what ja rule thinks at a time like this? bsky.app/profile/ripp...

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eli knaap @knaaptime.com · 18/06/2025

this is the distinction between people who understand AI and people who don't. if you think the computer is capable of PhD caliber work (let alone 12x PhD work) you understand neither LLMs nor doctoral degrees (or people who hold them)

ROOSE The mental model I sometimes have of these chatbots is as a very smart assistant who has a dozen Ph.D.s but is also high on ketamine like 30 percent of the time. But also, the bar of 100 percent reliability is not the right one to aim for here: The base rate that we should be comparing with is not complete factuality but the comparable smart human given the same task.

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eli knaap @knaaptime.com · 16/06/2025

Galster calls this influence from multiple externality spaces; we call it 'multiple spatial embeddings'. Travel behavior matters for the definitions of some externality spaces, but residential location defines your participation in many of the most important ones link.springer.com/article/10.1...

image from George Galster's *Making our neighborhoods, making our selves" showing partially overlapping polygons representing multiple conceptual 'externality spaces' for two different people

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eli knaap @knaaptime.com · 11/06/2025

oh, the other reason is neighborhoods really only differentiate along a few dimensions, which are essentially class, race, age/household size, and density knaaptime.com/urban_analys... bsky.app/profile/knaa...

"factorial ecology maps of the chicago metro region, showing maps of dimensions "SES", "segregation, "family structure" and "urbanization"

"factorial ecology maps of the LA metro region, showing maps of dimensions "SES", "segregation, "family structure" and "urbanization"

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eli knaap @knaaptime.com · 10/06/2025

When you’re a “conservative” being chastised by faculty at the Scalia School 😳 www.nytimes.com/2025/06/10/u...

“He is declaring utterly bogus emergencies for the sake of trying to expand his power, undermine the Constitution and destroy civil liberties,” said Ilya Somin, a libertarian professor at Antonin Scalia Law School who represents a wine importer and other businesses challenging some of Mr. Trump’s tariffs.

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eli knaap @knaaptime.com · 10/06/2025

summer 25 addendum 🙄 bsky.app/profile/knaa...

As the writing of this book closes and the research infrastructure in the U.S. crumbles, it is important to clarify that part of my work on this collection of materials was funded by NSF POSE Grant #2345820, a project designed to make spatial data science more transparent and accessible for a broader range of users and contributors. This work is made open and freely available, explicitly, so that others can build on top of it to the scientific benefit of us all. It would not be possible without public research funding. More importantly, the vast majority of software packages demonstrated here have been supported directly and indirectly by a string of more than eight NSF grants, as well other funders including the Bill and Melinda Gates Foundation, the National Institutes for Justice, and the National Institute for Health3. geosnap was conceived during my postdoc on spatial distribution dynamics for neighborhoods (NSF #1421935 and #1733705), and tobler, segregation, and spopt were all borne from our RIDIR grant (NSF #1831615) at UCR–and that’s just since I’ve been on the team! Multiple team members before me also received NSF dissertation grants. Today the PySAL stack is cited in everything from genomics (Moses et al., 2023) to astrophysics (Martel et al., 2024)—classic agglomeration from knowledge-spillover, generating a massive return on the original investment—and that only happens because of public funding.

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eli knaap @knaaptime.com · 09/06/2025

the culprit here is variation in the size of geographic units being displayed. One possible way to try to overcome that is to interpolate to a consistent zonal system bsky.app/profile/paul... knaaptime.com/urban_analys...

choropleth maps of DC using the same population data; the right hand side shows original units, the left hand shows a regular hexagonal grid

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eli knaap @knaaptime.com · 09/06/2025

there's a ~complete rough draft of Urban Analysis up on my website (as in, code executes all the way through) knaaptime.com/urban_analysis still lots of editing to do, but if you're into cities, Python, or spatial analysis, give it a look and let me know what's wrong :)

table of contents for Urban Analysis and Spatial Science

Introduction
Spatial Data
1 Data Sets
2 Geoprocessing
3 Geovisualization
Interpolation and Change of Support
4 Areal Interpolation
5 Dasymetric Interpolation
6 Boundary Harmonization
Spatial Analysis
7 The Spatial Graph
8 Spatial Autocorrelation
9 Space-Time Event Clustering
Accessibility and Interaction
10 Travel Isochrones
11 Accessibility
12 Multimodal and More
Urban Spatial Structure
13 Location and Land Use
14 Concentration and Agglomeration
15 Employment Centers
Segregation
16 Segregation Measures
17 Space, Scale & Dynamics
18 Single and Comparative Inference
Urban Factor Models
19 Latent Spatial Processes
20 Factor Ecology
21 Ecometrics and Composite Indices
Neighborhood Delineation
22 Social Areas & Urban Typology
23 Geodemographic Clustering
24 Regionalization
Neighborhood Change
25 Spatial Dynamics in Math Achievement
26 Stochastic Cellular Automata
27 Neighborhood Dynamics
Spatial Econometrics
28 Applied Spatial Econometrics
29 The Hedonic Housing Price Model
30 Hedonic Models in Space
Location Models
31 Location Models
32 Location Choice
33 Spatial Optimization

graph of economic "bid-rent" model showing the relationship between land rent and distance from the market center for three types of land consumers

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eli knaap @knaaptime.com · 07/06/2025

dear political scientists, who are your people that inherit from the Hotelling tradition and what do they have to say about today? why are democrats the only ones still playing the hot dog game??? seriously bsky.app/profile/jame...

excerpt from "Stability in Competition" (Hotelling 1929):

So general is this tendency that it appears in the most diverse fields of competitive activity, even quite apart from what is called economic life. In politics it is strikingly exemplified. The competition for votes between the Republican and Democratic parties does not lead to a clear drawing of issues, an adoption of two strongly contrasted positions between which the voter may choose. Instead, each party strives.to make its platform as much like the other's as possible. Any radical departure would lose many votes, even though it might lead to stronger commendation of the party by some who would vote for it anyhow. Each candidate " pussyfoots," replies ambiguously to questions, refuses to take a definite stand in any controversy for fear of losing votes. Real differences, if they ever exist, fade gradually with time though the issues may be as important as ever. The Democratic party, once opposed to protective tariffs, moves gradually to a position almost, but not quite, identical with that of the Republicans. It need have no fear of fanatical free-traders, since they will still prefer it to the Republican party, and its advocacy of a continued high tariff will bring it the money and votes of some intermediate groups.

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eli knaap @knaaptime.com · 06/06/2025

without question every UC and CSU is an agglomeration center... i'd expect the local economic hit on places like Riverside or Merced would be massive; the hit + *spillover* from the LA, SF, SD metros would be massive www.cnn.com/2025/06/06/p... bsky.app/profile/knaa...

employment centers in the San Diego region with SDSU and UCSD campuses circled

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eli knaap @knaaptime.com · 29/05/2025

HUD is iconic. favorite building ive ever worked in

the Robert Weaver bulding, home of the Department of Housing and Urban Development

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eli knaap @knaaptime.com · 28/05/2025

new release of mapclassify is out today--with a much easier way to add a legendgram to your map (right from a Classfier object) github.com/pysal/mapcla... (cc @andrew.heiss.phd )

a choropleth map of the U.S. with a histogram of the mapped variable whose color bars match the classification scheme

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eli knaap @knaaptime.com · 22/05/2025

since then, both the python ecosystem and the policy landscape have changed a lot. remember the federal mandate to affirmatively further fair housing? anyway, here's how you measure the geography of opportunity, and how LIHTC units are distributed in Baltimore knaaptime.com/urban_analys...

four "opportunity" maps of the Baltimore metropolitan region

Local Indicators of Spatial Association (LISA) mapped for each of the four dimensions of 'opportunity'

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eli knaap @knaaptime.com · 18/04/2025

17 and 18 join the fight against cell bsky.app/profile/bren...

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eli knaap @knaaptime.com · 19/02/2025

(although in the next release of mapclassify it will be available as a method on a classifier object) --and with the (next?) release of lonboard, you'll be able to do a colorbrewer style picker in the notebook with about 3 lines :)

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eli knaap @knaaptime.com · 31/01/2025

coverage includes every 5-year release from 2012-2021 at both geography levels. e,g, here is age and sex from 2021 open.quiltdata.com/b/spatial-uc...

'sex and age' table from the census ACS 5-year sample in 2021

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eli knaap @knaaptime.com · 11/12/2024

whoa. quiet rollout for a pretty big update: docker for win/mac can access usb now blog.golioth.io/usb-docker-w... finally got my dormant skyconnect hooked up to @home-assistant.dev (in docker) on my mac studio

home assistant discovered new skyconnect device

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eli knaap @knaaptime.com · 22/11/2024

Special kinda party when sdsu gets the distinguished professor franklin @rsfrankl.bsky.social to deliver the annual Getis lecture in spatial analysis

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eli knaap @knaaptime.com · 22/11/2024

but measurement tho :P

a picture of the first page of "measurement theory with applications to decisionmaking, utility, and the social sciences"

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eli knaap @knaaptime.com · 13/11/2024

throwback because i didnt post it over here: wicked fast interactive 3d viz of regional commute flows with libpysal and lonboard. The `Graph` and the GPU make great partners knaaptime.com/longraph/

a map of the DC metro region (centered on Alexandria ,VA), with three-dimensional arcing lines drawn between blockgroups representing origins and destinations. The lines are shaded and thickened according to the volume of commuters between the two locations

a map of the DC metro region (centered on College Park, MD), with three-dimensional arcing lines drawn between blockgroups representing origins and destinations. The lines are shaded and thickened according to the volume of commuters between the two locations

a map of the DC metro region (centered on Capitol Hill, Washington D.C.), with three-dimensional arcing lines drawn between blockgroups representing origins and destinations. The lines are shaded and thickened according to the volume of commuters between the two locations

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eli knaap @knaaptime.com · 13/11/2024

factor ecology meets LISA in LA and Chicago--plus a cameo of Lew in Logan Square :) Still shocked at the clarity of these results I cooked up last year. After ~70 years, 4 factors still hold--each with a distinct spatial signature that looks different in each city knaaptime.com/urban_analys...

maps of the Chicago Metropolitan region showing "LISA" clusters of neighborhood "ecological factors"

maps of the Los Angeles Metropolitan region showing "LISA" clusters of neighborhood "ecological factors"

a brown Boston Terrier standing over a piece of sidewalk where someone carved "fuck trump" in the cement

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eli knaap @knaaptime.com · 12/11/2024

reminder that Luc, Serge, Pedro, Levi and I are teaching spatial analysis, econometrics, and optimization at NARSC tomorrow. Can still register for remote www.narsc.org/newsite/conf... www.narsc.org/newsite/wp-c... ...or just play in codespaces if you want github.com/sjsrey/works...

picture of flyer for the workshop "Spatial Data Analysis and Econmetrics with PySAL"

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eli knaap @knaaptime.com · 07/11/2024

alonso knew what he was talking about, and regional science still matters (!) a modern take on density gradients a bid-rent knaaptime.com/urban_analys...

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eli knaap @knaaptime.com · 05/11/2024

new paper out today with Serge, Clio and Zak in Networks and Spatial Economics. We develop a bipartite spatial weights matrix extending spatial econometric models to account for multi-contextual spillovers with a focus on neighborhood/school effects link.springer.com/article/10.1...

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