<｜begin▁of▁sentence｜>### Instruction:
In the context of visualizing ecological networks, let's consider a scenario where a simple triadic interaction exists within a fragment of a habitat - three species with symbiotic relationships represented by a network of nodes and interactions as edges. Could you elucidate how one might employ the 'graspologic.layouts.save_graph' API from the world of network analysis to achieve a visual representation of this ecological network? The intention is to apply specific spatial coordinates that reflect the territorial ranges of these species, and to assign distinct colors that resonate with each species' unique traits. The outcome should be a well-rendered visual artefact that encapsulates the structure of this simplistic ecosystem, saved as an image file for further study and reference. How would such a process transpire through the use of 'graspologic.layouts.save_graph', assuming we have a network with 3 species (nodes) and 2 symbiotic relationships (edges)?
### Response:
import networkx as nx
from graspologic.layouts import NodePosition, save_graph

# Create a simple networkx graph
G = nx.Graph()
G.add_nodes_from([1, 2, 3])
G.add_edge(1, 2)
G.add_edge(2, 3)

# Define positions for each node
positions = [NodePosition(node_id=1, x=0, y=0),
             NodePosition(node_id=2, x=1, y=1),
             NodePosition(node_id=3, x=2, y=0)]

# Define colors for each node
node_colors = {1: 'red', 2: 'green', 3: 'blue'}

# Save the graph to a file
save_graph(output_path='graph.png', graph=G, positions=positions, node_colors=node_colors, vertex_line_width=0.01, vertex_alpha=0.55, edge_line_width=0.5, edge_alpha=0.02, figure_width=15, figure_height=15, light_background=True, vertex_shape='o', arrows=False, dpi=100)
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