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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14 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 ...
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13 views

Ho do I model spatial-temporal data with python?

Can someone get me started with the following: I have data of rare events including time and location. I want to predict future events based on past events occurring in a particular region and its ...
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22 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 ...
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1answer
24 views

How do I get the latitude and longitude information contained csv file? [closed]

I have already done a project on "Segmenting and Clustering Neighborhoods in Toronto" using the latitude and longitude information contained CSV file link attached with the question[http://cocl.us/...
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15 views

High Level Discussion: Generate synthetic sensor data using data from surrounding sensors

Let's assume I have readings coming from sensors. For every sensor, I have the following information: all the data it reads its location Now, given an arbitrary sensor at an arbitrary location ...
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21 views

GPS Data Preprocessing Recommandations?

GPS Data Preprocessing I got gps traces of busses which traveled from one place (bus station) to another. This file contains relevant(eg:- Data recorded between the starting bus station and ends ...
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17 views

Get new features from map using pickup/destination longitude and latitude to improve arrival time expectation

I am learning a model to predict the estimated time of delivery for orders. Specifically, from the instance of driver pickup to the point of arrival at its final destination. I attempted this with ...
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1answer
167 views

Create Nodes/Edges From CSV (latitude and longitude) for Graphs

The Ultimate Goal: I want to find the shortest and coolest (in terms of temperature) path between two points (for a given pair of latitudes and longitudes on the map)! I am aware of algorithms like ...
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1answer
29 views

Representing geospatial information

I am trying to train a model to predict the location of a storm at a given time. The dataset includes the longitude and latitude of the storm at the given "timestamps" but I am not sure if that is the ...
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1answer
17 views

How to include both origin and destination in your features?

I'm trying to predict the price of transportation for trucking freight. Two important features that I think would be of great impact are Origin and Destination. What's the best way to include that in ...
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1answer
28 views

geo spatial clustering based on another feature

I have data about houses for sale, that I present over a map. Each house has coordinates ([lat,lng]) and other features. The data is only for one country, so no need to address the 180deg world wrap....
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10 views

Classifying Short Texts with Spatial Features

I have a dataset of short texts (like tweets) in addition there's some geographical data attached to each tweet - coordinates, whether it was made on the road, street, outside or in the building, ...
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184 views

Calculate probability vector from sample data

I'd like to compare two distributions using Jensen-Shannon Divergence metric. To do this, I need two probability vectors to plug into distance.jensenshannon(p, q). ...
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9 views

Automatically assess training data quality for land cover classification system

I am working on a Land cover classification system, wherein, Sentinel-hub imagery is being used to categorize the land cover by using a time series of multispectral imagery. Training data is being ...
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12 views

Image and Video Formats with lossy-compression and fast subregion lookup?

I'm looking for image / video file formats that support lossy compression to reduce disk size and allow for fast subregion lookup. i.e. dont read the entire file when you only need to lookup a small ...
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173 views

Implementation of Bhattacharyya distance for filtering images that are far off from their cluster

I need assistance with the python implementation of Bhattacharyya-distance for the below use case: Here, the polygons P1, P2..Pn refer to the different images where each pixel is represented by 'n' ...
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1answer
29 views

Clustering based on geolocation pair

I am trying to process a large set of location data where a list of start and end coordinate is given. For example, ...
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12 views

Automated Spatial data mining tools in python

How can spatial data raster be processed in order to apply random forest prediction algorithm on it using python programming language?
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403 views

Multidimensional scaling producing different results for different seeds

I took the data from here and wanted to play around with multidimensional scaling with this data. The data looks like this: In particular, I want to plot the cities in a 2D space, and see how much it ...
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1answer
50 views

Probabilistic Machine Learning model to match spatial data

I have spatial data from multiple sources. This data consists of ID, lat, long, and time. My goal is that given a new lat-long, the model needs to return (preferably with a probability) the data ...
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88 views

How to encode H3 geohash in regression model

I'm trying to train a random forest regression model based on a number of features, including location. I know that raw lat/long can't be used directly, so I've bucketed them using H3. I'm struggling ...
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2answers
103 views

Predict Best Branch Locations For a Company

I have a dataset of existing 156 branches of my company with the longitude and latitude of each branch. Now we want to open 10 more branches. How can we predict the best locations for opening the new ...
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2answers
114 views

Find frequent segments of GPS trajectories

I have a dataset containing GPS coordinates (latitude and longitude), a timestamp variable and a subject ID to identify different persons. What I want to explore is two things: Find frequent routes (...
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1answer
48 views

How to merge personalized models together

Let's say I'm building an app like Uber and I want to predict the user's most likely destination based on the user's past history, current latitude-longitude, and current date and time. We have ...
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46 views

Splitting a geospatial data set with existing groupings

Data set: I have a data set consisting of trip data for a large number of cars. The raw data consists of rows with (GPS) coordinates, timestamp, current fuel consumption, temperature, etc. It has been ...
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1answer
113 views

Conditional clustering

I have a dataset consisting of addresses (points) that have several attributes; one that distinguishes the "sort" of address and one anntribute that contains a numerical value. I want to cluster ...
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1answer
45 views

Setting up Neural Network for this problem

I have a question regarding neural networks considering I am not an expert in NN. Assume have a 5 by 5 grid that depending on me pushing any square (or combination of squares) some of those squares (...
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171 views

How to best visualize data when outliers lead to lack of contrasting colors for the rest of the plot?

I have plotted the following map of Philippines according to the population in its regions, using matplotlib.pyplot in Python 3: As can be seen, there's one ...
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1answer
26 views

How can I use geo location for predictive modelling [closed]

While determining the house price I don't want to throw away geo location as feature. At least I want to see if there is correlation. Geo-location is more like categorical variable. Is there a way to ...
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49 views

spatiotemporal prediction using support vector regression

i am using a geographic dataset and i intend to use SVR as machine learning method for predicting spatiotemporal patterns from this dataset. My question is does SVR canensure spatiotemporal ...
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3answers
12k views

Can GPS coordinates (latitude and longitude) be used as features in a linear model?

I have data sets that contain, among many features, GPS coordinates (latitude and longitude). I'd like to use these data sets to explore problems such as: (1) computing ETA to drive between start and ...
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1answer
429 views

Approach to classify spatial trajectories of vessels

I'm trying to create a classifier to distinguish different boats by their trajectories. I have training data of the longitude and latitude of a boat and time in seconds. Vessels like a ferry will ...
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1answer
648 views

How to collect tweets by geo-location?

I am extracting tweets on brands for sentiment analysis. I am using twitteR package on R. Is there a specific way by which I can only collect tweets from a location ex NY or Paris or Canada etc. I ...
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98 views

How to randomly sample crops from plain image with points only if crop contains n points inside?

Lets assume I have an image which only has white background and black points, all same size. I need to randomly sample crops with a hardcoded size. The condition is that all the crops need to contain ...
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1answer
73 views

How to visualize trending over geographical area?

I would like to visualize how a percentage evolves in time over a geographical area. In particular I have the percentage of products delivered in different regions and I want to show the weekly trend ...
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91 views

Predicting sales in unobserved locations

I am building a model that is trying to predict the 5 year sales production of a salesperson in every zip code in the United States. I have only 7 years of data. This task is one piece of a larger ...
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1answer
246 views

Orange3 does not show Geo Map tool on OS X

I am using Orange 3.3.11 and I cannot find "Geo Map" widget on OS X. But the documentation says there is such a widget. How can I find this widget?
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1answer
624 views

Filtering outliers in Apache Spark based on calculations of previous values

I'm processing geospatial data using Spark 2.0 Dataframes with the following schema: ...
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1answer
208 views

Spatial Data Mining and ATM banking transactions

I have the following dataset. This dataset contains ATM banking transactions in different places over 30 days. These ATMs are located in different cities and ...
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1answer
27k views

Heatmap on a map in Python

Mode Analytics has a nice heatmap feature (https://community.modeanalytics.com/gallery/geographic-heat-map/). But it's not conducive to comparing maps (only one per report). What they do allow is ...
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1answer
219 views

Using GPS signal, determine is this person driving a cab

New York City provides tens of gigs of data of taxi routes all over the city. What I'd like to do, is use this data (or some other method), to come up with an algorithm that can take a persons GPS ...
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1answer
622 views

Which classification algorithm to choose for classifying driving patterns (GPS coordinates) and mapping them to drivers?

I have been given 6 data sets out of which 5 are training sets. The 5 data sets correspond to 5 drivers. Each row of a data set consists of a time-stamp followed by a poly-line. The poly-line gives ...
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4answers
5k views

How to predict ETA using Regression?

I have a data from GPS in the form 1.('latitude', 'longitude','Timestamp'). 2.('latitude', 'longitude','Timestamp'). 3.('latitude', 'longitude','Timestamp'). I ...
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977 views

How to predict Estimated Time for Arrival given only trajectory data and time?

I have data of latitude, longitude and timestamp. I am trying to build a graph based on pincodes (in India) (equivalent to zipcode). Based on this graph and trajectory data that I have, I want to ...
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1answer
130 views

Best format for recording time stamp and GPS

In most data acquisition settings it is useful to tag your data with time and location. If I write the data to csv file, what are the best formats that I can use for this two variables if I want to ...
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8answers
57k views

Clustering geo location coordinates (lat,long pairs)

What is the right approach and clustering algorithm for geolocation clustering? I'm using the following code to cluster geolocation coordinates: ...