Nick Mark, MD @nick

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**Greg Cocks** @GregCocks@techhub.social · Jun 28, 2024

Jun 28, 2024

Greg Cocks @GregCocks@techhub.social

Assessing The Vertical Accuracy Of Digital Elevation Models By Quality Level And Land Cover
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https://doi.org/10.1080/2150704X.2024.2368924 <-- shared paper
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#GIS #spatial #mapping #USGS #3dep #elevation #LiDAR #vertical #accuracy #precision #risk #hazard #coast #coastal #landcover #landuse #flood #flooding #stormsurge #geostatistics #spatialstatistics

chart - Boxplots of differences between elevation checkpoints and digital elevation models developed for the Atlantic and Gulf of Mexico coasts of the United States, grouped by land cover type.

model / map / 3D graphic - point cloud representation of a coastal area with docks and buildings, etc

map(s) - State-level distribution of checkpoints and land cover types used to assess the vertical accuracy of digital elevation models along the Atlantic and Gulf of Mexico coasts of the United States.

**Greg Cocks** @GregCocks@techhub.social · Feb 23, 2024 *

Feb 23, 2024 *

Greg Cocks @GregCocks@techhub.social

Assessing Landslide Risk in Prince William Sound
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https://www.usgs.gov/news/featured-story/assessing-landslide-risks-prince-william-sound <-- shared technical article
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https://pubs.usgs.gov/publication/ofr20231099 <-- shared USGS open file report (OFR)
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#GIS #spatial #mapping #remotesensing #3dep #ifsar #elevation #geology #engineeringgeology #massmovement #landslide #risk #hazard #tsunami #Alaska #PrinceWilliamSound #naturalhazard #climatechange #glaciers #slopes #glacial #sediment #instability #slopestability #coast #coastal #monitoring #model #modeling #statistics #geostatistics #spatialstatistics #ChugachMountains #tsunamigenic #NationalTsunamiWarningCenter #spatialanalysis #geomorphology #geomorphometry
@USGS

maps - Example persistent scatterer interferometric synthetic aperture radar (PSInSAR) results for landslides with tsunamigenic plausibility. All deformation is in the line of sight (LOS) of the satellite look direction. Positive values indicate distances from the satellite to the ground surface became shorter (for example, vertical uplift or horizontal displacement in the direction of the sensor) and negative values indicate distances from the satellite to the ground surface became longer (for example, vertical subsidence or horizontal displacement away from the sensor). Most landslide areas are delineated based on PSInSAR points that show deformation, unless clear lineations associated with slope deformation were visible in imagery (for example, Yale F in Panel A), or the landslide has been previously delineated using high resolution imagery (for example, Barry Arm A and B in Panel D; Coe and others, 2021). Landslides with a blue label indicate those with tsunamigenic plausibility. Satellite path and analysis dates shown in the panels are as follows: A, P160, 2018–20; B, P160, 2018–20; C, P065, 2016–18; D, P065, 2016–18; E, P094, 2016–18.

map - Location of landslides identified using persistent scatterer interferometric synthetic aperture radar.

graphics - Conceptual diagram of the variables used to calculate the mobility required for the landslide to reach the nearest shoreline, Fshore, for the tsunami plausibility assessment. A, Map view and B, cross-sectional view of two possible topographic landslide configurations and their runout path for a landslide situated above a valley bottom (noted with A–A′–A”) and directly above a water body (noted with B–B′). For landslides not directly above water bodies, the distance (Lshore) and elevation difference (Hshore) of the landslide to the closest waterbody is the sum of the distance and elevation difference of the fall line (A–A′) and the length and elevation distance of the path from the bottom of the landslide to the shoreline (A′–A”).

**Greg Cocks** @GregCocks@techhub.social · Jan 25, 2024 *

Jan 25, 2024 *

Greg Cocks @GregCocks@techhub.social

Spatially Balanced Sampling And Ground-Level Imagery For Vegetation Monitoring On Reclaimed Well Pads
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https://doi.org/10.1111/rec.12956 <-- shared paper
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#GIS #spatial #mapping #energy #oilandgas #oilandgasindustry #oilandgasexploration #wellpads #reclamation #spatialanalysis #naturalgas #development #northamerica #USWest #landuse #ownership #stakeholders #vegetation #metric #esosystem #SamplePoint #systematic #sampling #imageanalysis #remotesensing #spatialstatistics #monitoring #regulations #seeding #costs #naturalresources #standardprotocols #defensibility #costsavings #observerbias #GPS #camera #Wyoming #WY

aerial photo - oblique - multiple drill/well pads & access roads, Wyoming

**Greg Cocks** @GregCocks@techhub.social · Nov 22, 2023

Nov 22, 2023

Greg Cocks @GregCocks@techhub.social

'Geospatial Analysis With SQL', B.P. McClain, 2022
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[I received a new version of this book - and so wanted to repost my original review]
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https://post.news/@/kiwiincolorado/2YW3DEvvhqnlEmAbw2ej6QEWbHH <-- my (solicited) technical book review
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#GIS #spatial #mapping #BookTwitter #bookreview #review #technicalbook #book #PostGIS #PostgreSQL #geospatial #analysis #SQL #opensource #gischat #spatialstatistics #QGIS #geography @datamongerbonny @PacktPublishing
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[disclaimers – (i) a publisher’s representative solicited a review of this book and provided an e-book version for that purpose but no recompense, (ii) this is my impartial, personal review - and hence is not an endorsement by my employer, implicit or otherwise.]

screen shot - Figure 3.14 - Executing a SQL in QGIS - Geospatial Analysis With SQL

screen shot - Figure 1.19 - adding extensions to the database - Geospatial Analysis With SQL

screen shot - Figure 7.21 - pgAdmin display showing data output of n=15 hospitals - Geospatial Analysis With SQL

book cover - Geospatial Analysis With SQL

**Physalia-courses** @PhysaliaCourses@mas.to · Sep 5, 2023

Sep 5, 2023

Physalia-courses @PhysaliaCourses@mas.to

Registrations are now open for the course #SpatialStatistics with R with @edzer

Explore spatial stats: sampling, point patterns, geostatistics, regression models, & machine learning in our course.

Join now: https://physalia-courses.org/courses-workshops/spatial-statistics/

#rspatial #rstats #DataScience

**Physalia-courses** @PhysaliaCourses@mas.to · Aug 28, 2023

Aug 28, 2023

Physalia-courses @PhysaliaCourses@mas.to

Registrations are now open for the course #SpatialStatistics with R with Prof. Edzer Pebesma

Explore spatial stats: sampling, point patterns, geostatistics, regression models, & machine learning in our course.

Join now: https://physalia-courses.org/courses-workshops/spatial-statistics/

#rspatial #rstats #DataScience

**Tuomas Väisänen** @waeiski@vis.social · Feb 12, 2023

Feb 12, 2023

Tuomas Väisänen @waeiski@vis.social

I enjoy learning and teaching about spatial statistics. Like unhealthy-level enjoy. It comes up once a year on one of our #geoinformatics courses and I always realize something new and exciting when I am updating the slides. Tomorrow's lecture is gonna be lit!

What's your favorite resource for brushing up on #SpatialStatistics or #SpatialEconometrics? I like https://geographicdata.science/, but was wondering what else is out there. I know @rsfrankl got a nice new book digging into this as well...

Geographic Data Science with PySAL and the PyData StackWelcome!This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

**David Simons** @davidsimons@ecoevo.social · Nov 10, 2022

Nov 10, 2022

David Simons @davidsimons@ecoevo.social

Keeping myself busy while waiting for supervisor comments to come back on a couple of pieces of work by unearthing a project I'd like to get finished. #PhDLife

Suprisingly the code works but my #Rstats, #GAM and #SpatialStatistics skills are much better now, so pretty much starting from scratch.

A map showing detection of African Swine Fever infections in domestic pigs and wild boar across mainland Europe in days since 2007-04-23

#AfricanSwineFever #VetEpi

**Antonio Páez** @paezha@mastodon.online · Nov 6, 2022

Nov 6, 2022

Antonio Páez @paezha@mastodon.online

#intro

I am part of the Great #MastodonMigration from that other site.

I teach and do research at #McMaster University's School of Earth, Environment and Society. My areas of interest are #transportation, #accessibility, #ActiveTravel, #equity, and #policy. I have a strong interest in methods, and my longest love affair has been with #SpatialStatistics and #SpatialDataAnalysis.

I am interested in #writing, and use #Rstats with gusto, professionally and for #Rtistry and #GenerativeArt.

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