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Questions tagged [geospatial]

pertaining to the geographic location and characteristics of natural or constructed features and boundaries on, above, or below the earth's surface; esp. referring to data that is geographic and spatial in nature.

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Data tables over an interactive map?

I have the longitude/latitude points of various communities within a Country. I'm interested in having a user be able to hover over a point on the map and be able to read the available data tables on ...
hollowhills's user avatar
1 vote
1 answer
21 views

Best metric to assess similarity between flight trajectories features

Consider a flight as represented by a dataframe with spatial (latitude, longitude, altitude) ...
Droid's user avatar
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Using shape files in Orange

Is there any way to use shape files in orange for Geomaps? Otherwise how can I fetch shapes for states/districts not in the default ones provided. For context I want to use shapes of districts in an ...
Damitr's user avatar
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Is there a way to achieve a transparent basemap with px.density_mapbox?

I'm creating a heatmap with Plotly density_mapbox, and I need the background to be fully transparent so that the heatmap can be exported to geotiff and used as an overlay for an external map. The ...
user18937561's user avatar
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Retrieve a company's list of all physical assets locations based on its name

I have a list of ~1500 companies, of which I know only their names and possibly some identifiers such as the ISIN or the Ticker codes. For each of them, I would need to find the addresses of all their ...
Eleonora Varde''s user avatar
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Generate evenly space point geography along a linestring

I have the total number of poles in a location (a sample area) and the road geometry (linestring) of each road in the area. I can calculate the average distance between poles, I want to distribute ...
3XT's user avatar
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Can a location be derived from a compilation of paintings?

I have added a link to the collected paintings that were put into a video below. I apologize for the quality, I had to gif and reduce it to fit here. (The SE team may consider increasing the size ...
Justintimeforfun's user avatar
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1 answer
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Is there a way to automatically split large clusters that are greater than some maximum number of points?

I ran HDBSCAN on these coordinates and got some clusters but some are too large. HDBSCAN has a minimum cluster size parameter, but no maximum size. All I want is to intuitively divide larger clusters ...
Ben Hendel's user avatar
1 vote
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Loading large raster dataset in to tensorflow

I am building a convolutional neural network for processing air quality concentration fields and meteorological parameter distribution. The input data are in Geotiff and NetCDF formats, which I load ...
Marcin Kawka's user avatar
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Multiple coords to one data_vars in xr.dataset

I am trying to create a xarray dataset for a list of events (labeled 1 or 0, so it's an array of integers). To each event three numbers need to be attached - a date, longitude, and latitude. I provide ...
Shaz's user avatar
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2 votes
3 answers
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How to forecast a timeseries with geolocation data?

I have created a dataset with my geolocations from the last three months. The data set contains longitude, latitude, and timestamp, with a frequency of every 5 minutes. Based on this data, I want to ...
sander's user avatar
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Classification Algorithms for Geospatial Vector Data

I am new to the world of Geospatial Analysis. As such, I am interested in Machine Learning / Deep Learning techniques for classifying geospatial vector data specifically (as opposed to raster data). I'...
Bogdan Kandra's user avatar
5 votes
3 answers
364 views

Spatial Join Pandas Dataframes of Bounding Boxes (cross match)

Problem Statement Imagine there are two almost identical images with annotations (bounding boxes for certain objects), where one is so-called golden image (template) containing all must-have objects (...
TwinPenguins's user avatar
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1 answer
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When i plot dataframes how can i assure one of the dataframes stays inside the other one? [closed]

Code used: ...
Scipio's user avatar
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1 answer
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How to denoise overrepresented lines in sample of 2D (geospatial) data?

I have some geospatial data in lat/lon form accurate to 6th decimal place. As shown in the picture below, there are some over-represented lines of points at specific latitudes which appear in the ...
Brendan Hill's user avatar
1 vote
1 answer
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Group people driving together based on GPS data

I need to group together people driving together based on GPS data. Data are collected by mobile phones. From each user we receive them in batches every 10 seconds. Each batch have list of GPS data (...
mgorniew's user avatar
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127 views

Hex-binning Geospatial Data

Okay, I feel like this maybe a very easy to answer for many of you. If you feel tempted to downvote this question, please know I tried earnestly for a dozen hours to find what I think should have been ...
Jay's user avatar
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What is purpose of diffusion matrix? What is its role in graph clustering? How do it serve its purpose by equation?

As titled, I am not quite sure what is purpose of Diffusion Matrix, which is support to clustering graph. From this article (https://arxiv.org/pdf/2006.05582v1.pdf) I am might able to compute the ...
Phạm Tâm's user avatar
1 vote
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50 views

Filter relevant geojson data based on a selected datapoint

I'll outline the situation and challenge I have a bit more clearly. I have multiple different datasets: A set of locations where products are sold (name, long, lat) A geojson dataset with geometry (...
Lars Kuijlenburg's user avatar
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1 answer
941 views

Clustering latitude, longitude along with numeric and categorical data

I am working on clustering the customer base of a business-to-business company. I have data on customers that consists of both numerical (e.g. # of purchases made, avg. spend per purchase) and ...
Ultralite's user avatar
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1 vote
2 answers
513 views

Interpolate a point in time for two given geolocations and their times in python

Let's say I have two geolocations at given times. How can I interpolate these two geolocation and find any location for a given time time3 in python? ...
veer7's user avatar
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How to classify a "Trip" from multiple GPS pings of each Unique ID?

I have a huge file of lat/long & timestamp data from vehicles and I need to identify "Trips" from these multiple pings of Each vehicle ID. Trips have a "Start" & "end&...
Stanford's user avatar
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1 answer
33 views

Sampling from earths landmass

Given a sphere which resembles earth, I want to sample points where land would be. I am struggling to find a dataset to sample from, and even to find a dataset which I could use to generate a set of ...
Sarius's user avatar
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2 votes
1 answer
59 views

How to use LAT/LNG as predictor variables

I'm working on geographic data where I need to predict the average income per geo key/zip code. The data I have consisted of more than 30 million unique geo keys in Zip+4 format. As per my ...
Shivam Soni's user avatar
-1 votes
1 answer
611 views

How to deal with address (like zip-code) for training a model?

To me it doesn't make sense to normalize it even if it is a numerical variable like Zip Code. An address should be interpreted as categorical features like "neighborhood"... ? Suppose I have ...
aRedDish's user avatar
2 votes
0 answers
17 views

Machine learning cost/benefit for including priors in input vector

Is there a trade-off in accuracy/generalisation/performance when providing priors to a general machine learning algorithm vs training the machine learning algorithm with enough data so that it could ...
RedM's user avatar
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1 vote
0 answers
115 views

Can pre-trained transformers (I.e., BERT) handle numerical/spatial data

I’m curious to know if pre-trained transformers could handle search queries that include numerical data or make references to spatial relationships. Take an example dataset of a list of restaurants, ...
Ellio's user avatar
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0 votes
1 answer
27 views

use cases of geocoding maps

Tableau has interactive maps that can be used for custom geocoding. I know companies often divide regions for sales and marketing purposes but could anyone think of any specific use cases or examples ...
x89's user avatar
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1 vote
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104 views

How to use Lat/Lon in machine learning prediction?

I am research meteorologist working with hurricane model forecasts of track (millions of lat/lon pairs) and their verified lat/lon pairs (essentially where the hurricane actually went). With the ...
Andrew Coleman's user avatar
1 vote
1 answer
129 views

Geospatial clustering plot with zoom in Python?

I need to construct an interactive clustering plot. Ideally as the user zooms in the clusters would split-up into smaller clusters at certain zoom levels. I am planning to have several discrete levels ...
Archie's user avatar
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42 views

Save CSVs as hyper file

I have three separate CSV files (Points.csv, PointsSynonym.csv, and LocalDataPoints.csv). I made these files after extracting data from shape files and .gpkg files. I would like to save them all a ...
x89's user avatar
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1 vote
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Metrics for spatial datasets

I'm working on a dataset of computer game replays. Each replay file describes the game of two players as a timeseries of game commands, where each command has a type and coordinates, like so: ...
Yaniv Aknin's user avatar
1 vote
0 answers
23 views

What is a good way to handle nominal spatial data with a changing number of categories to use in prediction model?

For a project I'm going to be working with spatial data with a nominal attribute (land use). Every year the number of categories for this attribute changes because categories split or merge. I do have ...
Nander Vilar Castellar's user avatar
0 votes
1 answer
32 views

Finding Correlations in two Datasets

I have an assignment where I am trying to find correlations between Lightning Strikes and Telecommunication damage. The two datasets consist of many columns (especially the human-recorded ...
Effy Stonem's user avatar
1 vote
0 answers
32 views

Destination prediction with Naive Bayes and sparse output matrix

Given a dataset of historical cab rides, I'm trying to predict the final zip code destination of a ride based on the following features: origin zip code (e.g. 10006 Wall Street, Manhattan) pickup ...
Jivan's user avatar
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0 answers
71 views

How to handle multi-channel 2-D geo-spatial grid like data samples in machine learning with number of features associated with each grid?

I am looking into a problem wherein the whole geographic area is divided into number of bins/pixels so we get nxn matrix covering whole region. Now each bin/pixel has number of parameters/features ...
hasanfarooq's user avatar
4 votes
1 answer
63 views

Spatially constrained geospatial similarity

What's the current methodology for clustering geospatial data by features? Example: I have some demographic dataset. Let's say this contains average home price and population density. So, an example ...
Overflow2341313's user avatar
4 votes
2 answers
127 views

Data Engineering Stack - collect, transform and visualize geospatial data

I'm making a side project, where I collect geospatial data by web scrapping and from OSM API. I've started with simple Java application, however, I would like to make it as a data flow, purely for ...
Forin's user avatar
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1 vote
0 answers
43 views

Derivative of multi-output Gaussian Process

I am working on a project where I estimate transition and measurements models for a kalman filter using Gaussian Processes. In order to linearize the models I require the Jacobian of the estimated ...
Michael's user avatar
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2 votes
1 answer
95 views

Geo Add-on Choropleth Widget not found

I am trying to create a Choropleth map using the Chorolpeth widget from the Geo Add-on in Orange. However, this widget is not appearing? Any ideas? My current version: Orange version 3.24.1 for ...
Sanderson Macedo's user avatar
0 votes
1 answer
16 views

How to measure the distance (in generalized sense) between geographical regions? [closed]

I need to construct a distance matrix for a few U.S. counties that are adjacent to one or another, and choosing the definition of distance is very tricky. The shortest path (i.e the minimum number of ...
Paw in Data's user avatar
1 vote
0 answers
46 views

"Smearing" probabilities or how to handle imprecise locations for canonically classification-type problems

I am trying to predict failures at different nodes on a line. Each node has different weather features and hardware/configuration features. For a little under half of the historical failures I have, I ...
gravity84's user avatar
0 votes
1 answer
23 views

Train building classifier for imagerial data

I am using the https://www.arcgis.com/ api for accessing imagery of aerial data. I would like to train a model that can caputure on the imagery if the provided ...
Carol.Kar's user avatar
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0 answers
93 views

How to plot a world map with cities in the right locations?

The data source is a CSV with cities in various countries in the world, each city has some numeric data associated with it. df.columns looks like: ...
Florin Andrei's user avatar
1 vote
3 answers
230 views

How to best use geographical information as a factor?

I am trying to predict crime rates and I have naively used lat and long as two separate factors (which seem to work well!). Are there any best practices for location as a factor?
schoon's user avatar
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-1 votes
1 answer
234 views

Can a machine learning model be trained on Call Detail Record(CDR) Data to predict user's daily locations?

I have a CDR data for two months and my goal is to extract daily or frequent locations(cell towers) of the user along with the departure and arrival time on those locations. The spatial resolution of ...
Ayaz49's user avatar
  • 101
0 votes
2 answers
111 views

Is there an alternative to Google Maps to find GPS coordinates of a place in Germany?

For probably any place on Earth, you can search it in Google Maps, make right-click, pick the option "What's here" and you get GPS coordinates. If I don't want to use Google Maps API, is there an ...
Open Food Broker's user avatar
0 votes
1 answer
50 views

Unsupervised Learning::Satellite Images::Single Bands

Has anyone has success with building models using KMeans for classification? I have images that only have one band and it continues to fail. My guess is that the issue is with both size of the image ...
OctoCatKnows's user avatar
0 votes
1 answer
18 views

fast processing: changing the column value in a geospatial environment

I have a table whose header looks like this: complaint_type, borough, street_name, incident_zip, latitude, longitude 1) I want to check if the "incident_zip" column of each row is in a specific list ...
Platinum's user avatar
1 vote
1 answer
425 views

Changing the value of a column based on the condition on another column

I have a table whose header looks like this: complaint_type borough street_name incident_zip latitude longitude I want to check if the "incident_zip" column of each row is in a specific ...
Platinum's user avatar