diff --git a/generate.py b/generate.py
deleted file mode 100755
index b3a1734..0000000
--- a/generate.py
+++ /dev/null
@@ -1,179 +0,0 @@
-#!/usr/bin/env python3
-
-import numpy as np
-from noise import snoise2
-import os
-import sys
-
-import terrainlib
-
-def noisemap(X, Y, scale=0.01, vscale=1.0, offset=0.0, log=False, **params):
-    # Determine noise offset randomly
-    xbase = np.random.randint(8192)-4096
-    ybase = np.random.randint(8192)-4096
-
-    if log:
-        vscale /= offset
-
-    # Generate the noise
-    n = np.zeros((X, Y))
-    for x in range(X):
-        for y in range(Y):
-            n[x,y] = snoise2(x/scale + xbase, y/scale + ybase, **params)
-
-    if log:
-        return np.exp(n*vscale) * offset
-    else:
-        return n*vscale + offset
-
-### PARSE COMMAND-LINE ARGUMENTS
-argc = len(sys.argv)
-
-config_file = 'terrain_default.conf'
-output_dir = 'river_data'
-params_from_args = {}
-i = 1 # Index of arguments
-j = 1 # Number of 'orphan' arguments (the ones that are not preceded by '--something')
-while i < argc:
-    arg = sys.argv[i]
-    if arg[:2] == '--':
-        pname = arg[2:]
-        v = None
-        split = pname.split('=', maxsplit=1)
-        if len(split) == 2:
-            pname, v = split
-            i += 1
-        elif i+1 < argc:
-            v = sys.argv[i+1]
-            i += 2
-
-        if v is not None:
-            if pname == 'config':
-                config_file = v
-            elif pname == 'output':
-                output_dir = v
-            else:
-                params_from_args[pname] = v
-    else:
-        if j == 1:
-            config_file = arg
-        elif j == 2:
-            output_dir = arg
-        i += 1
-        j += 1
-
-print(config_file, output_dir)
-
-params = terrainlib.read_config_file(config_file)
-params.update(params_from_args) # Params given from args prevail against conf file
-
-### READ SETTINGS
-def get_setting(name, default):
-    if name in params:
-        return params[name]
-    return default
-
-mapsize = int(get_setting('mapsize', 1000))
-scale = float(get_setting('scale', 400.0))
-vscale = float(get_setting('vscale', 300.0))
-offset = float(get_setting('offset', 0.0))
-persistence = float(get_setting('persistence', 0.6))
-lacunarity = float(get_setting('lacunarity', 2.0))
-
-K = float(get_setting('K', 0.5))
-m = float(get_setting('m', 0.5))
-d = float(get_setting('d', 0.5))
-sea_level = float(get_setting('sea_level', 0.0))
-sea_level_variations = float(get_setting('sea_level_variations', 0.0))
-sea_level_variations_time = float(get_setting('sea_level_variations_time', 1.0))
-flex_radius = float(get_setting('flex_radius', 20.0))
-flow_method = get_setting('flow_method', 'semirandom')
-
-time = float(get_setting('time', 10.0))
-niter = int(get_setting('niter', 10))
-
-### MAKE INITIAL TOPOGRAPHY
-n = np.zeros((mapsize+1, mapsize+1))
-
-# Set noise parameters
-params = {
-    "offset" : offset,
-    "vscale" : vscale,
-    "scale" : scale,
-    "octaves" : int(np.ceil(np.log2(mapsize)))+1,
-    "persistence" : persistence,
-    "lacunarity" : lacunarity,
-}
-
-params_sealevel = {
-    "octaves" : 1,
-    "persistence" : 1,
-    "lacunarity" : 2,
-}
-
-if sea_level_variations != 0.0:
-    sea_ybase = np.random.randint(8192)-4096
-    sea_level_ref = snoise2(time * (1-1/niter) / sea_level_variations, sea_ybase, **params_sealevel) * sea_level_variations
-    params['offset'] -= (sea_level_ref + sea_level)
-
-n = noisemap(mapsize+1, mapsize+1, **params)
-
-### COMPUTE LANDSCAPE EVOLUTION
-# Initialize landscape evolution model
-print('Initializing model')
-model = terrainlib.EvolutionModel(n, K=K, m=m, d=d, sea_level=sea_level, flex_radius=flex_radius, flow_method=flow_method)
-terrainlib.update(model.dem, model.lakes, t=5, sea_level=model.sea_level, title='Initializing...')
-
-dt = time/niter
-
-# Run the model's processes: the order in which the processes are run is arbitrary and could be changed.
-
-for i in range(niter):
-    disp_niter = 'Iteration {:d} of {:d}...'.format(i+1, niter)
-    if sea_level_variations != 0:
-        model.sea_level = snoise2((i*dt)/sea_level_variations_time, sea_ybase, **params_sealevel) * sea_level_variations - sea_level_ref
-    terrainlib.update(model.dem, model.lakes, sea_level=model.sea_level, title=disp_niter)
-    print(disp_niter)
-    print('Diffusion')
-    model.diffusion(dt)
-    print('Flow calculation')
-    model.calculate_flow()
-    terrainlib.update(model.dem, model.lakes, sea_level=model.sea_level, title=disp_niter)
-    print('Advection')
-    model.advection(dt)
-    print('Isostatic equilibration')
-    model.adjust_isostasy()
-
-print('Last flow calculation')
-model.calculate_flow()
-
-print('Done!')
-
-# Twist the grid
-bx, by = terrainlib.make_bounds(model.dirs, model.rivers)
-offset_x, offset_y = terrainlib.twist(bx, by, terrainlib.get_fixed(model.dirs))
-
-# Convert offset in 8-bits
-offset_x = np.clip(np.floor(offset_x * 256), -128, 127)
-offset_y = np.clip(np.floor(offset_y * 256), -128, 127)
-
-### SAVE OUTPUT
-if not os.path.isdir(output_dir):
-    os.mkdir(output_dir)
-os.chdir(output_dir)
-# Save the files
-terrainlib.save(model.dem, 'dem', dtype='>i2')
-terrainlib.save(model.lakes, 'lakes', dtype='>i2')
-terrainlib.save(offset_x, 'offset_x', dtype='i1')
-terrainlib.save(offset_y, 'offset_y', dtype='i1')
-
-terrainlib.save(model.dirs, 'dirs', dtype='u1')
-terrainlib.save(model.rivers, 'rivers', dtype='>u4')
-
-with open('size', 'w') as sfile:
-    sfile.write('{:d}\n{:d}'.format(mapsize+1, mapsize+1))
-
-terrainlib.stats(model.dem, model.lakes)
-print()
-print('Grid is ready for use!')
-terrainlib.plot(model.dem, model.lakes, title='Final grid, ready for use!')
diff --git a/terrainlib/__init__.py b/terrainlib/__init__.py
deleted file mode 100644
index 8775f17..0000000
--- a/terrainlib/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Load packages and provide easy access to important functions
-
-from .settings import read_config_file
-from .erosion import EvolutionModel
-from .save import save
-from .bounds import make_bounds, twist, get_fixed
-from .view import stats, update, plot
diff --git a/terrainlib/bounds.py b/terrainlib/bounds.py
deleted file mode 100644
index b179a1f..0000000
--- a/terrainlib/bounds.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import numpy as np
-
-def make_bounds(dirs, rivers):
-    """
-    Give an array of all horizontal and vertical bounds
-    """
-
-    (Y, X) = dirs.shape
-    bounds_h = np.zeros((Y, X-1), dtype=rivers.dtype)
-    bounds_v = np.zeros((Y-1, X), dtype=rivers.dtype)
-
-    bounds_v += (rivers * (dirs==1))[:-1,:]
-    bounds_h += (rivers * (dirs==2))[:,:-1]
-    bounds_v -= (rivers * (dirs==3))[1:,:]
-    bounds_h -= (rivers * (dirs==4))[:,1:]
-
-    return bounds_h, bounds_v
-
-def get_fixed(dirs):
-    """
-    Give the list of points that should not be twisted
-    """
-
-    borders = np.zeros(dirs.shape, dtype='?')
-    borders[-1,:] |= dirs[-1,:]==1
-    borders[:,-1] |= dirs[:,-1]==2
-    borders[0,:] |= dirs[0,:]==3
-    borders[:,0] |= dirs[:,0]==4
-
-    donors = np.zeros(dirs.shape, dtype='?')
-    donors[1:,:] |= dirs[:-1,:]==1
-    donors[:,1:] |= dirs[:,:-1]==2
-    donors[:-1,:] |= dirs[1:,:]==3
-    donors[:,:-1] |= dirs[:,1:]==4
-    return borders | ~donors
-
-def twist(bounds_x, bounds_y, fixed, d=0.1, n=5):
-    """
-    Twist the grid (define an offset for every node). Model river bounds as if they were elastics.
-    Smoothes preferentially big rivers.
-    """
-
-    moveable = ~fixed
-
-    (Y, X) = fixed.shape
-    offset_x = np.zeros((Y, X))
-    offset_y = np.zeros((Y, X))
-
-    for i in range(n):
-        force_long = np.abs(bounds_x) * (1+np.diff(offset_x, axis=1))
-        force_trans = np.abs(bounds_y) * np.diff(offset_x, axis=0)
-
-        force_x = np.zeros((Y, X))
-        force_x[:,:-1] = force_long
-        force_x[:,1:] -= force_long
-        force_x[:-1,:]+= force_trans
-        force_x[1:,:] -= force_trans
-
-        force_long = np.abs(bounds_y) * (1+np.diff(offset_y, axis=0))
-        force_trans = np.abs(bounds_x) * np.diff(offset_y, axis=1)
-
-        force_y = np.zeros((Y, X))
-        force_y[:-1,:] = force_long
-        force_y[1:,:] -= force_long
-        force_y[:,:-1]+= force_trans
-        force_y[:,1:] -= force_trans
-
-        length = np.hypot(force_x, force_y)
-        length[length==0] = 1
-        coeff = d / length * moveable # Normalize, take into account the direction only
-        offset_x += force_x * coeff
-        offset_y += force_y * coeff
-
-    return offset_x, offset_y
diff --git a/terrainlib/erosion.py b/terrainlib/erosion.py
deleted file mode 100644
index 9d2ed89..0000000
--- a/terrainlib/erosion.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import numpy as np
-import scipy.ndimage as im
-from .rivermapper import flow
-
-def advection(dem, dirs, rivers, time, K=1, m=0.5, sea_level=0):
-    """
-    Simulate erosion by rivers.
-    This models erosion as an upstream advection of elevations ("erosion waves").
-    Advection speed depends on water flux and parameters:
-
-    v = K * flux^m
-    """
-
-    adv_time = 1 / (K*rivers**m) # For every pixel, calculate the time an "erosion wave" will need to cross it.
-    dem = np.maximum(dem, sea_level)
-    dem_new = np.zeros(dem.shape)
-
-    for y in range(dirs.shape[0]):
-        for x in range(dirs.shape[1]):
-            # Elevations propagate upstream, so for every pixel we seek the downstream pixel whose erosion wave just reached the current pixel.
-            # This means summing the advection times downstream until we reach the erosion time.
-            x0, y0 = x, y
-            x1, y1 = x, y
-            remaining = time
-            while True:
-                # Move one pixel downstream
-                flow_dir = dirs[y0,x0]
-                if flow_dir == 0:
-                    remaining = 0
-                    break
-                elif flow_dir == 1:
-                    y1 += 1
-                elif flow_dir == 2:
-                    x1 += 1
-                elif flow_dir == 3:
-                    y1 -= 1
-                elif flow_dir == 4:
-                    x1 -= 1
-
-                if remaining <= adv_time[y0,x0]: # Time is over, we found it.
-                    break
-                remaining -= adv_time[y0,x0]
-                x0, y0 = x1, y1
-
-            c = remaining / adv_time[y0,x0]
-            dem_new[y,x] = c*dem[y1,x1] + (1-c)*dem[y0,x0] # If between 2 pixels, perform linear interpolation.
-
-    return dem_new
-
-def diffusion(dem, time, d=1):
-    radius = d * time**.5
-    if radius == 0:
-        return dem
-    return im.gaussian_filter(dem, radius, mode='reflect') # Diffusive erosion is a simple Gaussian blur
-
-class EvolutionModel:
-    def __init__(self, dem, K=1, m=0.5, d=1, sea_level=0, flow=False, flex_radius=100, flow_method='semirandom'):
-        self.dem = dem
-        #self.bedrock = dem
-        self.K = K
-        self.m = m
-        self.d = d
-        self.sea_level = sea_level
-        self.flex_radius = flex_radius
-        self.define_isostasy()
-        self.flow_method = flow_method
-        #set_flow_method(flow_method)
-        if flow:
-            self.calculate_flow()
-        else:
-            self.lakes = dem
-            self.dirs = np.zeros(dem.shape, dtype=int)
-            self.rivers = np.zeros(dem.shape, dtype=int)
-            self.flow_uptodate = False
-
-    def calculate_flow(self):
-        self.dirs, self.lakes, self.rivers = flow(self.dem, method=self.flow_method)
-        self.flow_uptodate = True
-
-    def advection(self, time):
-        dem = advection(np.maximum(self.dem, self.lakes), self.dirs, self.rivers, time, K=self.K, m=self.m, sea_level=self.sea_level)
-        self.dem = np.minimum(dem, self.dem)
-        self.flow_uptodate = False
-
-    def diffusion(self, time):
-        self.dem = diffusion(self.dem, time, d=self.d)
-        self.flow_uptodate = False
-
-    def define_isostasy(self):
-        self.ref_isostasy = im.gaussian_filter(self.dem, self.flex_radius, mode='reflect') # Define a blurred version of the DEM that will be considered as the reference isostatic elevation.
-
-    def adjust_isostasy(self, rate=1):
-        isostasy = im.gaussian_filter(self.dem, self.flex_radius, mode='reflect') # Calculate blurred DEM
-        correction = (self.ref_isostasy - isostasy) * rate # Compare it with the reference isostasy
-        self.dem = self.dem + correction # Adjust
diff --git a/terrainlib/rivermapper.py b/terrainlib/rivermapper.py
deleted file mode 100644
index 3c93bd5..0000000
--- a/terrainlib/rivermapper.py
+++ /dev/null
@@ -1,278 +0,0 @@
-import numpy as np
-import numpy.random as npr
-from collections import defaultdict
-
-# This file provide functions to construct the river tree from an elevation model.
-# Based on a research paper:
-#   | Cordonnier, G., Bovy, B., and Braun, J.:
-#   | A versatile, linear complexity algorithm for flow routing in topographies with depressions,
-#   | Earth Surf. Dynam., 7, 549–562, https://doi.org/10.5194/esurf-7-549-2019, 2019.
-# Big thanks to them for releasing this paper under a free license ! :)
-
-# The algorithm here makes use of most of the paper's concepts, including the Planar Boruvka algorithm.
-# Only flow_local and accumulate_flow are custom algorithms.
-
-# Define two different method for local flow routing
-def flow_local_steepest(plist):
-    vmax = 0.0
-    imax = 0.0
-    for i, p in enumerate(plist):
-        if p > vmax:
-            vmax = p
-            imax = i
-    if vmax > 0.0:
-        return imax+1
-    return 0
-
-def flow_local_semirandom(plist):
-    """
-    Determines a flow direction based on denivellation for every neighbouring node.
-    Denivellation must be positive for downward and zero for flat or upward:
-    dz = max(zref-z, 0)
-    """
-    psum = sum(plist)
-    if psum == 0:
-        return 0
-    r = npr.random() * psum
-    for i, p in enumerate(plist):
-        if r < p:
-            return i+1
-        r -= p
-
-flow_local_methods = {
-    'steepest' : flow_local_steepest,
-    'semirandom' : flow_local_semirandom,
-}
-
-def flow(dem, method='semirandom'):
-    if method in flow_local_methods:
-        flow_local = flow_local_methods[method]
-    else:
-        raise KeyError('Flow method \'{}\' does not exist'.format(method))
-
-    # Flow locally
-    dirs1 = np.zeros(dem.shape, dtype=int)
-    dirs2 = np.zeros(dem.shape, dtype=int)
-    (X, Y) = dem.shape
-    Xmax, Ymax = X-1, Y-1
-    singular = []
-    for x in range(X):
-        z0 = z1 = z2 = dem[x,0]
-        for y in range(Y):
-            z0 = z1
-            z1 = z2
-            if y < Ymax:
-                z2 = dem[x, y+1]
-
-            plist = [
-                max(z1-dem[x+1,y],0) if x<Xmax else 0, # 1: x -> x+1
-                max(z1-z2,0),                          # 2: y -> y+1
-                max(z1-dem[x-1,y],0) if x>0    else 0, # 3: x -> x-1
-                max(z1-z0,0),                          # 4: y -> y-1
-            ]
-            
-            pdir = flow_local(plist)
-            dirs2[x,y] = pdir
-            if pdir == 0:
-                singular.append((x,y))
-            elif pdir == 1:
-                dirs1[x+1,y] += 1
-            elif pdir == 2:
-                dirs1[x,y+1] += 2
-            elif pdir == 3:
-                dirs1[x-1,y] += 4
-            elif pdir == 4:
-                dirs1[x,y-1] += 8
-
-    # Compute basins
-    basin_id = np.zeros(dem.shape, dtype=int)
-    stack = []
-
-    for i, s in enumerate(singular):
-        queue = [s]
-        while queue:
-            x, y = queue.pop()
-            basin_id[x,y] = i
-            d = int(dirs1[x,y])
-
-            if d & 1:
-                queue.append((x-1,y))
-            if d & 2:
-                queue.append((x,y-1))
-            if d & 4:
-                queue.append((x+1,y))
-            if d & 8:
-                queue.append((x,y+1))
-
-    del dirs1
-
-    # Link basins
-    nsing = len(singular)
-    links = {}
-    def add_link(b0, b1, elev, bound):
-        b = (min(b0,b1),max(b0,b1))
-        if b not in links or links[b][0] > elev:
-            links[b] = (elev, bound)
-
-    for x in range(X):
-        b0 = basin_id[x,0]
-        add_link(-1, b0, dem[x,0], (True, x, 0))
-        for y in range(1,Y):
-            b1 = basin_id[x,y]
-            if b0 != b1:
-                add_link(b0, b1, max(dem[x,y-1],dem[x,y]), (True, x, y))
-            b0 = b1
-        add_link(-1, b1, dem[x,Ymax], (True, x, Y))
-    for y in range(Y):
-        b0 = basin_id[0,y]
-        add_link(-1, b0, dem[0,y], (False, 0, y))
-        for x in range(1,X):
-            b1 = basin_id[x,y]
-            if b0 != b1:
-                add_link(b0, b1, max(dem[x-1,y],dem[x,y]), (False, x, y))
-            b0 = b1
-        add_link(-1, b1, dem[Xmax,y], (False, X, y))
-
-    # Computing basin tree
-    graph = planar_boruvka(links)
-
-    basin_links = defaultdict(dict)
-    for elev, b1, b2, bound in graph:
-        basin_links[b1][b2] = basin_links[b2][b1] = (elev, bound)
-    basins = np.zeros(nsing+1)
-    stack = [(-1, float('-inf'))]
-
-    # Applying basin flowing
-    dir_reverse = (0, 3, 4, 1, 2)
-    while stack:
-        b1, elev1 = stack.pop()
-        basins[b1] = elev1
-
-        for b2, (elev2, bound) in basin_links[b1].items():
-            stack.append((b2, max(elev1, elev2)))
-
-            # Reverse flow direction in b2 (TODO)
-            isY, x, y = bound
-            backward = True # Whether water will escape the basin in +X/+Y direction
-            if not (x < X and y < Y and basin_id[x,y] == b2):
-                if isY:
-                    y -= 1
-                else:
-                    x -= 1
-                backward = False
-            d = 2*backward + isY + 1
-            while d > 0:
-                d, dirs2[x,y] = dirs2[x,y], d
-                if d == 1:
-                    x += 1
-                elif d == 2:
-                    y += 1
-                elif d == 3:
-                    x -= 1
-                elif d == 4:
-                    y -= 1
-                d = dir_reverse[d]
-
-            del basin_links[b2][b1]
-        del basin_links[b1]
-
-    # Calculating water quantity
-    dirs2[-1,:][dirs2[-1,:]==1] = 0
-    dirs2[:,-1][dirs2[:,-1]==2] = 0
-    dirs2[0,:][dirs2[0,:]==3] = 0
-    dirs2[:,0][dirs2[:,0]==4] = 0
-
-    waterq = accumulate_flow(dirs2)
-
-    return dirs2, basins[basin_id], waterq
-
-def accumulate_flow(dirs):
-    ndonors = np.zeros(dirs.shape, dtype=int)
-    ndonors[1:,:] += dirs[:-1,:] == 1
-    ndonors[:,1:] += dirs[:,:-1] == 2
-    ndonors[:-1,:] += dirs[1:,:] == 3
-    ndonors[:,:-1] += dirs[:,1:] == 4
-    waterq = np.ones(dirs.shape, dtype=int)
-
-    (X, Y) = dirs.shape
-    rangeX = range(X)
-    rangeY = range(Y)
-    for x in rangeX:
-        for y in rangeY:
-            if ndonors[x,y] > 0:
-                continue
-            xw, yw = x, y
-            w = waterq[xw, yw]
-            while 1:
-                d = dirs[xw, yw]
-                if d <= 0:
-                    break
-                elif d == 1:
-                    xw += 1
-                elif d == 2:
-                    yw += 1
-                elif d == 3:
-                    xw -= 1
-                elif d == 4:
-                    yw -= 1
-
-                w += waterq[xw, yw]
-                waterq[xw, yw] = w
-
-                if ndonors[xw, yw] > 1:
-                    ndonors[xw, yw] -= 1
-                    break
-
-    return waterq
-
-def planar_boruvka(links):
-    # Compute basin tree
-
-    basin_list = defaultdict(dict)
-
-    for (b1, b2), (elev, bound) in links.items():
-        basin_list[b1][b2] = basin_list[b2][b1] = (elev, b1, b2, bound)
-
-    threshold = 8
-    lowlevel = {}
-    for k, v in basin_list.items():
-        if len(v) <= threshold:
-            lowlevel[k] = v
-
-    basin_graph = []
-    n = len(basin_list)
-    while n > 1:
-        (b1, lnk1) = lowlevel.popitem()
-        b2 = min(lnk1, key=lnk1.get)
-        lnk2 = basin_list[b2]
-
-        # Add link to the graph
-        basin_graph.append(lnk1[b2])
-
-        # Union : merge basin 1 into basin 2
-        # First, delete the direct link
-        del lnk1[b2]
-        del lnk2[b1]
-
-        # Look for basin 1's neighbours, and add them to basin 2 if they have a lower pass
-        for k, v in lnk1.items():
-            bk = basin_list[k]
-            if k in lnk2 and lnk2[k] < v:
-                del bk[b1]
-            else:
-                lnk2[k] = v
-                bk[b2] = bk.pop(b1)
-
-            if k not in lowlevel and len(bk) <= threshold:
-                lowlevel[k] = bk
-
-        if b2 in lowlevel:
-            if len(lnk2) > threshold:
-                del lowlevel[b2]
-        elif len(lnk2) <= threshold:
-            lowlevel[b2] = lnk2
-        del lnk1
-
-        n -= 1
-
-    return basin_graph
diff --git a/terrainlib/save.py b/terrainlib/save.py
deleted file mode 100644
index b21b524..0000000
--- a/terrainlib/save.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import numpy as np
-import zlib
-
-def save(data, fname, dtype=None):
-    if dtype is not None:
-        data = data.astype(dtype)
-
-    bin_data = data.tobytes()
-    bin_data_comp = zlib.compress(bin_data, 9)
-    if len(bin_data_comp) < len(bin_data):
-        bin_data = bin_data_comp
-    with open(fname, 'wb') as f:
-        f.write(bin_data)
diff --git a/terrainlib/settings.py b/terrainlib/settings.py
deleted file mode 100644
index c63b015..0000000
--- a/terrainlib/settings.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import os.path
-
-def read_config_file(fname):
-    settings = {}
-
-    if not os.path.isfile(fname):
-        return settings
-
-    with open(fname, 'r') as f:
-        for line in f:
-            slist = line.split('=', 1)
-            if len(slist) >= 2:
-                prefix, suffix = slist
-                settings[prefix.strip()] = suffix.strip()
-
-    return settings
diff --git a/terrainlib/view.py b/view.py
similarity index 100%
rename from terrainlib/view.py
rename to view.py
diff --git a/view_map.py b/view_map.py
index c3efe6d..a1216b4 100755
--- a/view_map.py
+++ b/view_map.py
@@ -5,7 +5,7 @@ import zlib
 import sys
 import os
 
-from terrainlib import stats, plot
+from view import stats, plot
 
 scale = 1
 if len(sys.argv) > 1: