ada-carter

import os, sys, shutil, pygame
import time

# Configuration
BASE_DIR = r"C:\Users\Student\Desktop\Ada\mothra__frames\1quartermothra\quarterLargo"
DELETE_DIR = os.path.join(BASE_DIR, "delete")
WINDOW_W, WINDOW_H = 1200, 800
PANEL_W = 240
IMG_W, IMG_H = WINDOW_W - PANEL_W, WINDOW_H
FPS = 30

ada-carter

# app.py
import streamlit as st
from PIL import Image, ImageEnhance
import numpy as np
import cv2
from skimage.segmentation import slic
from skimage.util import img_as_float
from sklearn.cluster import MiniBatchKMeans, Birch
from sklearn.mixture import GaussianMixture
from sklearn.decomposition import PCA

ada-carter

import streamlit as st
import pandas as pd
import numpy as np
from scipy.stats import chisquare

st.set_page_config(page_title="Poisson Test on CPD", layout="centered")

st.title("Hourly Changepoint Poisson Test")

uploaded = st.file_uploader("Upload CPD CSV", type=["csv"]) 

ada-carter

import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import streamlit as st
from datetime import datetime

st.title('Ecological Change-Point Permutation Tests')

st.write('Upload two ecological time-series CSVs: one NPP, one interpolated.')

ada-carter

# ───────────────────────────────────────────────────────────────
# Temporal PCNM & Community Analysis Script                v2.2
# ───────────────────────────────────────────────────────────────

## 1. USER SETTINGS ----
script_dir <- "C:/Users/Student/Desktop/Ada/RScripts"
csv_file   <- file.path(script_dir, "SHR_2022-23_interpolated_time.csv")

# Define the time windows for analysis
time_windows <- list(